1817 Data Architecture Jobs - Page 20

Job Title: Erwin Data Modeler, Insurance domain Location: Any Job Type: Full-Time | 2-11pm Shift Job Summary We are seeking a skilled and experienced Data Modeler with hands-on expertise in Erwin Data Modeling to join our team. The ideal candidate will have a strong background in data architecture and modeling, with a minimum of 4 years of relevant experience. Knowledge of the insurance domain is a significant plus. Key Responsibilities Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler. Collaborate with business analysts, data architects, and developers to understand data requirements and translate them into data models. Ensure data models align with enterprise standards and best practices. Perform data analysis and profiling to support modeling efforts. Maintain metadata and documentation for data models. Support data governance and data quality initiatives. Participate in reviews and provide feedback on data models and database designs. Required Skills & Qualifications Strong understanding of data modeling concepts including normalization, denormalization, and dimensional modeling. Knowledge on any relational database will be an advantage. Familiarity with data warehousing and ETL processes. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities.

Join us as a Data Engineer You ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making We ll look to you to drive the build of effortless, digital first customer experiences If you re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you re looking for Were offering this role at vice president level What youll do As a Data Engineer, you ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank s data, safe and secure. You ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will also include: Building advanced automation of data engineering pipelines through removal of manual stages Embedding new data techniques into our business through role modelling, training, and experiment design oversight Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets Sourcing new data using the most appropriate tooling for the situation Developing solutions for streaming data ingestion and transformations in line with our streaming strategy The skills youll need To thrive in this role, you must have twelve years expereince and you ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You ll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you ll need: Experience of data engineering toolsets such as Airflow, RDBM tools like PGSQL/Oracle/DB2, Snowflake, S3, EMR/DataBricks and Data Pipelines etc. Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control Experience in reporting tools such as QuickSight would be an added advantage Good understanding of Database, Data Warehouse and ETL concepts Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders Hours 45 Job Posting Closing Date: 29/07/2025

About Forma.ai: Forma.ai is a Series B startup thats revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you re passionate about data analytics and want to contribute to sales operations, we d love to hear from you! What you ll be doing: Work with new and existing customers to implement the companys new platform features as well as manage and optimize client processes Learn the architecture and design of the companys platform to the extent of being able to independently complete updates, enhancements, and change requests Lead onboarding & activities, including requirements gathering for incentive compensation plan rules, data analysis, and quality control Assist the ongoing operations for a portfolio of existing customers and implement new features (i.e. rule building, process execution, reporting and dashboarding, and product support) Scope, build and test automated workflows, processes and reporting capabilities to support automation of incentive compensation processes and improve business visibility Support design projects including analysis, financial modelling, project planning, customer workshops, and presentation/recommendation of findings Interact with key customer stakeholders to coordinate project execution Hire, guide and coach a team of Analysts, Associates, and Managers to be high performing and client focused Act as the main point of contact for senior customer stakeholders Act as a key point of contact to articulate customer feedback and support the development of new product features Act as a key point of contact for the companys to implement new platform features across customers to support continuous product improvement What were looking for: Education or Background in Engineering, Commerce, Mathematics and/or Statistics +6 years of working experience Experience in working with large datasets (SQL) and a strong understanding of logical structures of databases and workflows a plus Strength in Excel to perform data profiling, segmentation, and aggregation Understanding of data architecture and process flows Analytical problem-solving ability, organizational, and project management skills Ability to take ownership and run with tasks in a fast-paced and evolving environment Understanding of common analytical and presentation tools (i.e., Excel, PowerPoint) Nice to haves: Experience with SQL and/or Python Experience with sales incentive compensation Our values: Work well, together. We re real. We have kids and pets. Mortgages and student loans. We re in this together, so no matter how brilliant any one of us is, we always play nice with one another - no exceptions. Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite. Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn t customer-facing, we re all customer-focused. Maybe even slightly customer-obsessed. Our commitment to you: We know that applying to a new role takes a lot of effort. Youre encouraged to apply even if your experience doesnt precisely match the job description. There are many paths to a successful career and we re looking forward to reading yours. We thank all applicants for their interest.

Our Company: We re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We re crucial to the company s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don t expect you to fit every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team: We are seeking a highly skilled and experienced Senior API Integration Developer to join our team. The ideal candidate will have extensive experience in developing and managing API integrations, ensuring seamless data flow between systems. This role will be crucial in supporting our data fabric and data mesh hybrid data foundation. The role: I this role you will design, develop, and maintain API integrations to support business applications and data systems. Youw will collaborate with cross-functional teams to understand integration requirements and provide technical solutions as well as ensure the security, scalability, and performance of API integrations. You will troubleshoot and resolve integration issues in a timely manner, develop and maintain documentation for API integrations and processes, with experience in Swagger-like API documentation being a must. You will always stay updated with the latest API integration technologies and best practices; will provide training and support to junior developers on API integration techniques, while working closely with the Data Integration Architect to ensure alignment with overall data architecture. What you ll bring: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Extensive experience in API development and integration. Proficiency in API management tools such as Postman, Swagger, or Apigee. Strong knowledge of RESTful and SOAP APIs. Experience with programming languages such as Java, Python, or JavaScript. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Prior experience working with SnapLogic integration platform is a plus. Prior knowledge of creating APIs on Graph DB is required. Preferred Skills: Experience with cloud-based integration platforms such as AWS, GCP, or Azure. Familiarity with microservices architecture. Knowledge of data integration tools such as MuleSoft or Dell Boomi. Certification in API development or integration. About us We re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you re not just another employee; you re part of a tradition of excellence and a community working towards creating a digital future. #LI-RC Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We re proud to say we re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

This internationally acclaimed institution offers you the opportunity to utilize your unique skill set to lead the way toward the technology of the future. Join forces with some of the leading minds in the industry and pave the path toward a better tomorrow. As a Manager of Data Architecture at JPMorgan Chase within the Consumer & Community Banking, you will oversee several data architecture teams, guiding them through daily implementation tasks. Your role involves identifying and addressing issues, ensuring compliance with standards, meeting business requirements, and applying tactical best practices to your teams work. . Job responsibilities Provides guidance to immediate team of data architects on daily tasks and activities Sets overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver data architecture solutions in line with business requirements Manages stakeholder relationships and the team s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Experience leading data architecture projects Experience managing data architects Proficiency in automation and continuous delivery methods Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of data architecture methodologies In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience working at code level This internationally acclaimed institution offers you the opportunity to utilize your unique skill set to lead the way toward the technology of the future. Join forces with some of the leading minds in the industry and pave the path toward a better tomorrow. As a Manager of Data Architecture at JPMorgan Chase within the Consumer & Community Banking, you will oversee several data architecture teams, guiding them through daily implementation tasks. Your role involves identifying and addressing issues, ensuring compliance with standards, meeting business requirements, and applying tactical best practices to your teams work. . Job responsibilities Provides guidance to immediate team of data architects on daily tasks and activities Sets overall guidance and expectations for team output, practices, and collaboration Anticipates dependencies with other teams to deliver data architecture solutions in line with business requirements Manages stakeholder relationships and the team s work in accordance with compliance standards, service level agreements, and business requirements Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience Experience leading data architecture projects Experience managing data architects Proficiency in automation and continuous delivery methods Proficiency in all aspects of the Software Development Life Cycle Advanced understanding of data architecture methodologies In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience working at code level

About us We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil s affiliates in India ExxonMobil s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India . What role you will play in team ExxonMobil s Planning & Stewardship (P&S DIGITAL) has a mission to develop enterprise data sets in support of the corporate strategy to treat data as an asset to maximize business value. The Data Architect may work independently or work closely with other Data Architects, subject matter experts (SMEs), data engineers and developers to design enterprise data sets and consult with projects to ensure data architecture is aligned with enterprise data principles and standards. The position will report to the Data Architect Manager. Job will be based at Bangalore , Whitefield office ( WFO) for 5 days in a week. What you will do The P&S DIGITAL Data Architect will work towards building and/or providing knowledge in support of the overall P&S digital mission and data strategy. To achieve these goals, the Data Architect will be required to analyze current state data architectures and conceive desired future state data architectures and identify activities needed to close the gap to achieve the future state. Some examples of these activities/deliverables are: Deliver Data Artifacts: Drive the creation of data reference architectures, models, and structures for business domains. Strategic Guidance: Provide strategic direction on data components and endorse data architecture assessments. Design & Implementation: Design and implement data models, schemas, and structures for planning and stewardship. Develop & Test Pipelines: Develop and test data pipelines, ETL processes, and system integration with IT Documentation Coordination: Ensure completion of data definitions, ownership, standards, policies, and procedures About you Required Skills and Qualifications: Educational Background: Master s or bachelor s degree in business, computer science, engineering, systems analysis, or a related field. Degrees & certifications required for the job should be listed here, listing B.S. or equivalent work experience in this section is acceptable if an actual degree is not required Leadership Experience: Experience leading initiatives in these domains is desirable. Data Concepts: Familiarity with data governance, modeling, and integration. Technical Skills: Understanding of databases, data warehouses (e.g., Snowflake), SQL, and table/view design. ETL & Cloud Solutions: Ability to design/implement data connections (ETL) to/from cloud solutions (APIs, Azure Data Factory, Qlik, Fivetran). Experience: Minimum 3 years in data design/architecture with a strong willingness to continue learning. Recent Experience: Developing reference data architecture, data modeling (conceptual, logical, physical), data profiling, data quality analysis, and building business data glossaries and catalogs. Data Governance: Knowledge of data governance and master/reference data management programs. Tool Proficiency: Experience with SQL Server, SQL query language, and E/R Studio data modeling tool. Agile Experience: Experience working with agile delivery teams. Soft Skills: Effective planning, communication, collaboration, and persuasion skills to drive change. Communication Skills: Expert written and verbal communication skills; familiarity with SharePoint for collaboration. Self-Starter: Takes initiative and can work in a fast-paced environment. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Join us as a Data Engineer This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences You ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers and the bank s data safe and secure Participating actively in the data engineering community, you ll deliver opportunities to support the bank s strategic direction while building your network across the bank Were offering this role at associate level What youll do As a Data Engineer, you ll play a key role in driving value for our customers by building data solutions. You ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You ll also be: Developing comprehensive knowledge of the bank s data structures and metrics, advocating change where needed for product development Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills youll need To be successful in this role, you ll need a minimum of four years of experience with good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. You ll also demonstrate: Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities Proficiency in Python, PySpark, SQL, CICD pipelines, Git version control Experience in data engineering toolsets such as Airflow, RDBMs (PGSQL/Oracle/DB2), Snowflake, S3, EMR,DataBricks and Data Pipelines Experience in reporting tools such as QuickSight Hours 45 Job Posting Closing Date: 28/07/2025

The Economist is a leading source of analysis on international business and world affairs. We deliver our information through a range of formats, from newspapers and audio to conferences and electronic services. What ties us together is the objectivity of our opinion, the originality of our insight and our advocacy of economic and political freedom around the world. Within the Economist group, we are in a fortunate situation where we have a thriving B2C circulation business and a growing B2B business, including media, content, event, subscription and consulting. We are looking for a Salesforce Marketing Cloud Developer to join the team responsible for the development, maintenance and administration of the marketing tech stack, centred on the salesforce ecosystem. We work with business owners in marketing and product to deliver scalable, innovative and future-proofed solutions, helping the group realise maximum value from their marketing technology investments. How you will contribute: Developing solutions end-to-end in-line with business requirements and development principles. Contributing to technical solution design. Liaising and collaborating with marketing and product colleagues to help them get the most out of marketing technology. Identifying and delivering on training needs amongst end-users. Documenting technical designs, training resources and key engineering decisions. Presenting solutions to the wider business and senior leadership. Working with QA engineers to make sure quality requirements are met and acceptance criteria satisfied. Recommending appropriate marketing tech enhancements and keeping on top of innovations within the marketing automation space. Participating in team retros and making recommendations regarding ways of working. Adhering to security and data governance principles. Adhering to development principles regarding security, resilience and performance. Occasionally responding to out-of-hours support requests. The ideal skills for the role are: Salesforce Marketing Cloud Email Specialist Certification desired. Salesforce Marketing Cloud Administrator or Developer Certification desired. Advanced knowledge of Salesforce Marketing Cloud, including: Journey builder Email studio Automation studio Contact builder SFMC connector Mobile studio. Advertising studio. Marketing Cloud data architecture. Marketing Cloud administration. Advanced HTML and CSS for email. Advanced AMPscript. Advanced SQL. Experience with email render testing. An understanding of Salesforce CRM. Understanding of email deliverability and the infrastructure that impacts deliverability. Experience working across multiple teams, managing stakeholder expectations and delivering to deadlines. #LI-Hybrid What we offer Benefits We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Groups purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness

Job Description: Senior Solution Architect Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Responsibilities: Architectural Leadership: Lead the design and implementation of cloud-based applications across AWS, Azure, or other cloud platforms. Modern Architectures: Develop and implement event-driven architectures, microservices, and observability frameworks. Comprehensive Modelling: Address application, technology, and data architecture modelling effectively. Team Leadership: Guide and mentor teams, negotiate technology trends, and make informed technology choices amidst conflicting demands. Emerging Technologies: Stay abreast of and integrate emerging technologies, particularly Generative AI, into development and modernization efforts. Governance and Standards: Define and implement architectural governance and standards. Stakeholder Engagement: Collaborate with senior-level stakeholders to align technology strategies with business goals. Risk Management: Identify and mitigate technical and operational risks. Qualifications: Experience: 14-18 years of experience in technology architecture, with a strong focus on cloud-based application development and modernization. Emerging Technologies: Strong knowledge in Generative AI and other emerging technologies in development and modernization. Certification: Certified in OpenGroup TOGAF. Technical Skills: Proficient in AWS, Azure, and other cloud platforms; conversant with event-driven architectures, microservices, and observability. Leadership Skills: Proven ability to lead teams, manage technology trends, and guide technology choices. Communication: Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving skills, with a strategic mindset. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Conduct comprehensive current state analysis of existing data systems, processes, and frameworks of an organization. Provide strategic recommendations and design target state for optimizing data-related processes, structures, and systems. Participate in Data Maturity assessments. Drive CXO conversations effectively. Lead and facilitate engagements in data governance, establishing policies, procedures, and frameworks to ensure metadata, master data, data quality, security, and compliance. Develop and define future state data architectures aligned with industry best practices and organizational needs. Collaborate closely with cross-functional teams and stakeholders to ensure seamless integration of data strategies with business objectives. Utilize expertise in cloud technologies e.g., GCP, Azure, and AWS, to guide and implement data strategies in cloud-based environments. Help in providing tools/technology advisory to customers by creating market scan reports, technology comparison frameworks and selection, creating technology architecture. Drive RFI/RFP and presales engagements. Lead and contribute to offerings development, provide thought leadership. Leverage industry knowledge to drive business discussions, identify industry wise data strategy challenges and provide industry specific best practices. Following industry experience is preferred Retail/CPG and Automobile. Ability to understand data and derive key performance indicators (KPIs) Your Profile Bachelors degree in computer science, Information Technology, or any related field. MBA from a tier 1 and tier 2 college preferred. Proven experience in advisory and consultancy roles focused on data strategy and architecture. At least 1 end to end consulting engagement experience. Proficiency in cloud technologies, particularly GCP, Azure, and AWS, with relevant certifications preferred. Experience in leading and managing data governance, data modeling, and operating model initiatives. Should be aware of latest tech trends in data and applications of advanced AI technologies across Industry sectors. Strong knowledge of DAMA and TOGAF frameworks and principles. Certifications preferred. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary Full Stack Developer with Gen AI & Cloud Expertise Position Title Full Stack Lead Developer Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern frontend and backend technologies, cloudbased solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in fullstack development, cloud platforms (preferably Azure), and handson experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular / React.js , .NET , and Python . Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps , Service Bus , Storage Accounts , SQL Databases , Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas , NumPy , scikitlearn and Langchain , Llamaindex , Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform , including Power Automate , Power Pages , and SharePoint . Apply expertise in machine learning , deep learning , and Generative AI to solve complex problems. Primary Skills Proficiency in React.js , .NET , and Python . Strong knowledge of Azure Cloud Services , including serverless architectures and data security. Experience with Python Data Analytics libraries pandas NumPy scikitlearn Matplotlib Seaborn Experience with Python Generative AI Frameworks Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design , Swagger documentation , and authentication best practices . Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas Nice to have Indepth understanding of Machine Learning , deep learning, supervised, unsupervised algorithms. Mandatory skill sets AI, ML Preferred skill sets AI, ML Years of experience required 3 7 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills AI Programming Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} Travel Requirements Government Clearance Required?

SAFe B2B Portfolio architect to support customer journeys within the Service Management perimeter (Incident management, Change management, Customer reporting, Customer solutions end-to-end monitoring, ) Your missions Lead the architecture within the I Use I need Help SAFe Portfolio in sync with multiple teams from Customer Experience, Operations, Marketing, Global Process, IT, etc Ensure architectural consistency and alignment with enterprise-wide architecture strategies Define the Portfolio functional, software and technical IT strategy & architecture Design a future-ready, cost-efficient IT with business & IT teams Your main activities You operate in a context of large-scaled agility You provide architectural guidance and governance at the Portfolio level, ensuring alignment with SAFe practices and principles: You manage architecture demands within your Portfolio You collaborate with Enterprise Architects (at Orange Business level) to ensure that Portfolio-specific architectures fit within the broader architecture framework and Orange Business strategy You work closely with Solution Architects & Customer Architects to ensure each solution is aligned with the overall Portfolio roadmap and business goals You animate a System Architects (from Delivery Value Streams) circle within your Portfolio You define and maintain the Portfolio target architecture, aligned with business objectives You lead the efforts for building the Architecture runway You lead architecture initiatives within the Portfolio, with a focus on seamless integration across systems and services You act as the Business Owner for Enablers EPICs You ensure Portfolio architecture is consistent with enterprise-wide architecture strategies and complies with architecture standards and best practices You drive continuous improvement of the Portfolio architecture, adapting to changes in technology and business requirements You facilitate cross-Portfolios collaboration with other Portfolio architects, ensuring that shared services, data, and technologies are leveraged effectively across Portfolios You bring your knowledge about external frameworks, standards and guidelines (TMF, Open Digital Architecture, ) You establish strategies for data architecture to uphold the precision, consistency, and security You propose solutions to enhance the efficiency of systems, cut costs, and elevate the customer & Orange employee experience You describe the transformation steps from the as-is architecture situation towards the target architecture to be reached You develop and uphold architectural documentation You keep abreast of emerging technologies and industry developments Your qualifications: 15+ years total experience with 10+ relevant experience Excellent client facing communication skills Ability to communicate effectively with technical teams and business stakeholders Proven ability to manage architecture (functional, software & technical) in a large, scaled agile environment Strong experience with SAFe framework and Portfolio-level architecture SAFe for Architect certified Understanding of B2B Telecommunications products and processes: proven experience with industry frameworks like TM Forum, Open Digital Architecture (ODA), and telecom-specific technologies is a plus Very good knowledge of ITIL processes for Operations Support Systems: Case Management, Incident/Problem Management, Change Management, Knowledge Management, Maintenance Operations Management, Scheduled works, Intervention Management, Customer & Orange employee reporting, Observability and Monitoring Knowledge of following editors solutions: Service Now, Splunk, Ciena UAA Knowledge of automation engine for change network as code, net dev environment in a zero-touch-access approach Familiarity with modern architecture patterns, cloud technologies, and enterprise integration approaches Proven experience with architecture governance on complex projects / programs, including key design decisions Expertise in architectural frameworks such as TOGAF, Zachman, or similar is a plus Working experience with architecture tools Problem-solving skills Autonomy

The Fusion Data Intelligence Platform is an evolution of the Oracle Fusion Analytics Warehouse product, which will deliver business data-as-a-service with automated data pipelines, 360-degree data models for key business entities, rich interactive analytics, AI/ML models, and intelligent applications. These out-of-box capabilities will run on top of the Oracle Cloud Infrastructure (OCI) Data Lakehouse services, including Oracle Autonomous Database and Oracle Analytics Cloud, which enables full extensibility at the data, analytics, AI/ML, and application layers. Given these, there is an urgent need to augment the team to develop valuable new features for the FDIP platform. These projects require strong skills on Full stack, Backend, Big data technology skills. For this position, we are looking for Sr. Data Engineer/Modeler with experience in data warehousing projects. You will work with various large scale data systems like Product Usage and Application Performance to deliver data model powering insights platforms. You will work as part of the team designing all aspects of data management practices for the cloud. Responsibilities: Translate business requirements into logical/physical data models that are easy to understand. Design declarative data warehouse transformation rules/guidelines, for extraction/sourcing, loading and transformation Use SQL queries/custom scripts for rapid prototyping data model/transforms Design, develop unit/integration test data/plan and scripts for data model deliverables. Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow Required Skills BS or higher degree in Computer Science, Computer Engineering or equivalent with 5+ years of applied experience 5+ years of experience working in ETL, ODI, data architecture/modeling, data integrations. Expertise in data modeling principles/methods including conceptual, logical & physical Data Models Experience in developing BI Semantic Models Experience in working with dimensionally modeled data Experience in Business Intelligence tools (Tableau, OAC, Domo) to represent insights Knowledge of statistical inference, forecasting, multivariate analysis, cluster analysis, and optimization Experience in developing/supporting data solutions over multiple releases Experience with databases, performance tuning SQL and understanding ETL pipelines Exposure to Python or Java, and big data systems (Spark, Hive, Hadoop) Experience with data modeling software As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

We are looking for an experienced and visionary BI Architect to lead the design and evolution of our Business Intelligence architecture. In this strategic role, you ll work closely with cross-functional leaders to build scalable, high-performance data solutions that empower smarter, faster decisions across the organization. If you re passionate about driving impact through architecture and innovation, this is your opportunity to make a lasting difference.

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Data Product Manager within the Connected Commerce Travel Domain of Consumer and Community Banking, you play a pivotal role in the team, promoting the innovation of new data product offerings and overseeing the complete data product life cycle. As a key leader, your responsibilities include representing the customers perspective and developing profitable data products that deliver value to the customer. Leveraging your extensive knowledge of initiating a data product, you steer the successful launch of data products, collect vital feedback, and ensure superior client experiences. With a strong dedication to scalability, resiliency, and stability, you work closely with cross-functional teams to deliver high-quality data products that surpass customer expectations. Job responsibilities Develops a data product strategy and product vision that delivers value to customers Partner with stakeholders both in India and US, working with multiple tribes, squads and analysts to identify, refine, scope and prioritize high value features Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the products key success metrics such as cost, feature and functionality, risk posture, and reliability Own the layout of the Jira stories for each sprint and ensure they are based on best practices and is in line with defined deliverables. Conduct business acceptance of features and epics according to definition of done. Coach, train, manage and mentor analysts and team members to improve the maturity and value of the product practices within the team Required qualifications, capabilities, and skills Education Bachelor/Masters degree 10+ years of experience or equivalent expertise in product management, agile development, data architecture and other relevant technology domains Advanced knowledge of the data product development life cycle, including requirements, design, data querying, cloud technologies and data analytics Experience as a people manager including coaching and performance management Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Relevant experience in travel domain or customer loyalty space Background or coursework in Computer Science You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Data Product Manager within the Connected Commerce Travel Domain of Consumer and Community Banking, you play a pivotal role in the team, promoting the innovation of new data product offerings and overseeing the complete data product life cycle. As a key leader, your responsibilities include representing the customers perspective and developing profitable data products that deliver value to the customer. Leveraging your extensive knowledge of initiating a data product, you steer the successful launch of data products, collect vital feedback, and ensure superior client experiences. With a strong dedication to scalability, resiliency, and stability, you work closely with cross-functional teams to deliver high-quality data products that surpass customer expectations. Job responsibilities Develops a data product strategy and product vision that delivers value to customers Partner with stakeholders both in India and US, working with multiple tribes, squads and analysts to identify, refine, scope and prioritize high value features Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the products key success metrics such as cost, feature and functionality, risk posture, and reliability Own the layout of the Jira stories for each sprint and ensure they are based on best practices and is in line with defined deliverables. Conduct business acceptance of features and epics according to definition of done. Coach, train, manage and mentor analysts and team members to improve the maturity and value of the product practices within the team Required qualifications, capabilities, and skills Education Bachelor/Masters degree 10+ years of experience or equivalent expertise in product management, agile development, data architecture and other relevant technology domains Advanced knowledge of the data product development life cycle, including requirements, design, data querying, cloud technologies and data analytics Experience as a people manager including coaching and performance management Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Relevant experience in travel domain or customer loyalty space Background or coursework in Computer Science

Healthcare experience is Mandatory Position Overview : We are seeking an experienced Data Modeler/Lead with deep expertise in health plan data models and enterprise data warehousing to drive our healthcare analytics and reporting initiatives. The candidate should have hands-on experience with modern data platforms and a strong understanding of healthcare industry data standards. Key Responsibilities : Data Architecture & Modeling : - Design and implement comprehensive data models for health plan operations, including member enrollment, claims processing, provider networks, and medical management - Develop logical and physical data models that support analytical and regulatory reporting requirements (HEDIS, Stars, MLR, risk adjustment) - Create and maintain data lineage documentation and data dictionaries for healthcare datasets - Establish data modeling standards and best practices across the organization Technical Leadership : - Lead data warehousing initiatives using modern platforms like Databricks or traditional ETL tools like Informatica - Architect scalable data solutions that handle large volumes of healthcare transactional data - Collaborate with data engineers to optimize data pipelines and ensure data quality Healthcare Domain Expertise : - Apply deep knowledge of health plan operations, medical coding (ICD-10, CPT, HCPCS), and healthcare data standards (HL7, FHIR, X12 EDI) - Design data models that support analytical, reporting and AI/ML needs - Ensure compliance with healthcare regulations including HIPAA/PHI, and state insurance regulations - Partner with business stakeholders to translate healthcare business requirements into technical data solutions Data Governance & Quality : - Implement data governance frameworks specific to healthcare data privacy and security requirements - Establish data quality monitoring and validation processes for critical health plan metrics - Lead eAorts to standardize healthcare data definitions across multiple systems and data sources Required Qualifications : Technical Skills : - 10+ years of experience in data modeling with at least 4 years focused on healthcare/health plan data - Expert-level proficiency in dimensional modeling, data vault methodology, or other enterprise data modeling approaches - Hands-on experience with Informatica PowerCenter/IICS or Databricks platform for large-scale data processing - Strong SQL skills and experience with Oracle Exadata and cloud data warehouses (Databricks) - Proficiency with data modeling tools (Hackolade, ERwin, or similar) Healthcare Industry Knowledge : - Deep understanding of health plan data structures including claims, eligibility, provider data, and pharmacy data - Experience with healthcare data standards and medical coding systems - Knowledge of regulatory reporting requirements (HEDIS, Medicare Stars, MLR reporting, risk adjustment) - Familiarity with healthcare interoperability standards (HL7 FHIR, X12 EDI) Leadership & Communication : - Proven track record of leading data modeling projects in complex healthcare environments - Strong analytical and problem-solving skills with ability to work with ambiguous requirements - Excellent communication skills with ability to explain technical concepts to business stakeholders - Experience mentoring team members and establishing technical standards Preferred Qualifications : - Experience with Medicare Advantage, Medicaid, or Commercial health plan operations - Cloud platform certifications (AWS, Azure, or GCP) - Experience with real-time data streaming and modern data lake architectures - Knowledge of machine learning applications in healthcare analytics - Previous experience in a lead or architect role within healthcare organization

Job Description Summary The Sr Data Analyst - BI Reporting will play a key role in developing end-to-end reporting solutions from data collection and transformation to report generation and visualization. This role involves working on the cutting edge of data engineering and analytics leveraging machine learning predictive modeling and generative AI to drive business insights. Job Description Roles and Responsibilities Design visualizations and create dashboards/reports using Power BI (good to have Tableau experience). Explore clean and visualize data sets to prepare for analysis/reporting ensuring data quality and consistency. Develop and maintain BI semantic data models for large-scale data Warehouses/ Data Lakes eventually getting consumed by reporting tools. Leverage SQL and big data tools (e. g. Hadoop Spark) for data manipulation and optimization. Build advanced data models and pipelines using SQL and other tools. Ensure data quality consistency and integrity throughout the data lifecycle. Collaborate closely with data engineers analysts and other stakeholders to understand data requirements and optimize the data flow architecture. Document data processes data architecture modelling/flow charts and best practices for future reference and knowledge sharing. Desired Characteristics Technical Expertise 5 to 8 years of experience in data analytics data mining/integration BI development reporting and insights. Strong knowledge of SQL and experience with big data technologies such as Hadoop Spark or similar tool for data massaging / manipulation. Develop advanced visualization/reports to highlight trends patterns and outliers making complex data easily understandable for various business functions. Implement UI/UX best practices to improve navigation data storytelling and the overall usability of dashboards ensuring that reports are actionable and user-friendly providing the desired insights. #LI-CK1 Additional Information Relocation Assistance Provided: Yes

Job Title: Database Expert/Architect We are seeking a highly skilled Database Expert with deep expertise in both SQL and NoSQL technologies, particularly in large-scale data environments. The ideal candidate will have a strong background in Redshift and data warehousing concepts, along with foundational knowledge of Power BI or similar reporting tools. Key Responsibilities: Design, develop, and optimize SQL and NoSQL queries, stored procedure for high-performance data retrieval across datasets exceeding 100 million records. Implement and manage database replication, partitioning, fragmentation, indexing strategies, and performance tuning. Oversee user and access management to ensure data security and compliance. Collaborate with reporting teams to support data visualization and dashboarding needs using Power BI or equivalent tools. Maintain and enhance database availability, scalability, and reliability through proactive monitoring and tuning. Required Skills & Experience: Proven expertise in SQL and NoSQL database development and optimization. Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. In-depth understanding of data warehousing principles and performance tuning techniques. 3+ years of experience working with AWS-managed database services. 1+ years of experience with Power BI or similar BI/reporting platforms. EXPERIENCE 12-14 Years SKILLS Primary Skill: Data Architecture Sub Skill(s): Data Architecture Additional Skill(s): MongoDB SQL Development, Data Architecture, Redshift

About the Role As a Data Engineer at BluSlash Consulting, you will play a pivotal role in transforming raw data into actionable insights that drive strategic decisions. You will work closely with our experienced BI leadership team to identify critical business metrics, analyze complex datasets, and build robust data models. Your responsibilities will include developing and implementing data-driven solutions that address the unique challenges faced by our clients, ensuring their projects success. You will utilize state-of-the-art data processing technologies and tools to create comprehensive reports and dashboards, providing clear, concise, and impactful visualizations. Through your expertise, you will help our clients understand their data better, uncover hidden trends, and make informed decisions that contribute to their overall growth and efficiency. Requirements Bachelors Degree required in any discipline. Any degree/ certification on data analytics subjects is plus. 2-4 years of relevant work experience Experience with data warehouses, distributed data platforms, and data lakes. Experience working on Excel, Python, SQL, Must know Data Ingestion from multiple sources, Data transformation, Data Architecture Excellent business and technical communication, organizational, and problem-solving skills. Knowledge of any visualization tool like Power BI, Tableau, Qlik, Looker is plus. Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data Team player and comfortable interacting with people Key Responsibilities Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. Design , build, and optimize the data architecture and Extract, Transform, and Load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making. Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. Drive the highest standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.

At Accellor, we are a trusted consultant that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and retail verticals. We ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture. As a Lead Data Engineer specializing in Snowflake and Databricks, you will be responsible for designing, developing, and delivering data engineering solutions using modern cloud data platforms. The candidate should have strong expertise in the data lifecycle, including data ingestion, transformation, and modeling, as well as experience with distributed data processing, data security, and integration with internal and external data sources. Additionally, the candidate should be proficient in leveraging best practices in data architecture and performance optimization. The role also requires the ability to drive end-to-end project delivery aligned with business objectives and ensure the realization of data-driven value. Responsibilities: Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams. Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects. Experience with gathering end user requirements and writing technical documentation. Suggest innovative solutions based on new technologies and latest trends. Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution. Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business. 7-10 years of experience working with Snowflake/Databricks in a data engineering or architecture role. Familiarity with programming languages such as Python, Java, or Scala for data processing and automation. Strong expertise in SQL, data modeling and advanced query optimization techniques. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake. Proficiency in ETL/ELT tools such as ADF, Fabric, etc. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment. Certification in Databricks is added advantage Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global canters. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Disclaimer: Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

Build smarter systems. Unlock data. Power growth. At SaaS Labs, were scaling fast and were looking for someone who can turn CRM tools into growth engines, translate data into insights, and fuel GTM execution with speed and clarity. This isnt a traditional operations role. Its a hands-on opportunity to be at the heart of how we scale helping sales, marketing, and growth teams move faster, execute smarter, and win bigger. What Youll Do Build for Impact: Design and implement end-to-end CRM architectures (Salesforce/HubSpot) including complex flows, custom objects, field dependencies, and multi-system integrations that scale with our growth. Own Tooling & Process: Create robust data models, implement ETL processes, and architect reporting frameworks that transform raw pipeline data into actionable business intelligence. Integrate & Optimize Tech Stack: Own full-stack integrations between CRM, marketing automation, sales engagement tools, and data warehouses ensuring seamless data flow and system performance. Solve Complex Analytical Challenges: Partner with stakeholders to translate complex business problem statements into analytical frameworks by leveraging the full capabilities of the tech stack. Transform ambiguous analytical requirements into clear, actionable insights that help our GTM teams stay focused and accountable. Fuel GTM Velocity: Partner closely with Sales, CS and Marketing leaders to streamline motions, set up scalable systems, and track performance outcomes. What You Need to Succeed 4-7 years of hands-on experience in designing CRM architecture, systems, integration, and scalable solutions; experience working in revenue operations at high-growth SaaS companies Expert-level Salesforce administratio n including Apex triggers, custom objects, complex validation rules, Process Builder, Flow Builder, and Lightning components Proven experience with system integrations, API management, and data architecture across tools like HubSpot, Outreach, Salesloft, ZoomInfo, LinkedIn Sales Navigator, and marketing automation platforms; familiarity with automation platforms (Zapier/Workato) Proficient technical skills in SQL, data modeling, and experience with business intelligence tools (Tableau, Looker, Power BI) and data warehouses (Snowflake, BigQuery); Strong Excel/Sheets skills Comfortable working cross-functionally in a fast-paced startup environment Why Join Us High ownership, high impact role - you will work in the CEOs office Work closely with senior GTM leaders Fast-moving, outcome-driven environment We are global SaaS company backed by leading investors, with $40M+ in ARR, powering revenue teams across 6,000+ businesses to close deals faster, personalize customer engagement, and scale their GTM operations effortlessly. Want to build the systems and insights that shape how we growApply now and help us scale smarter.

Business Overview Roundel is Targets entry into the media business; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We operate with the ethos of trust and transparency and that media works best when it works in everyones best interest . At the very root of that, Roundel is here to drive business growth for our clients and redefine value in the industry by solving core industry challenges vs. copy current industry methods of operation. We are here to drive a key growth initiative for Target and to lead the industry to a better way of operating within the media marketplace. As the Analyst Data Strategy P&I at Roundel , you would responsible for understanding the data needs across team and would also develop and execute a roadmap to maximize data capabilities that align with the evolving needs of the P&I team. You would be the data custodian for the P&I team responsible for scaling the data function in the form of new products and services. You will also be responsible for ensuring that the data across the products is consistent with the highest standards of accuracy. You will do so by bringing your knowledge and expertise of working in a data analytics/data-centric business environment with a strong foundation in data strategy. You would work towards building new data capabilities in partnership with Roundels Product functions to enhance the reporting and insights machinery within the P&I team. You would work as a conduit between the product and P&I team to simplify data across sources to ensure data consistency and integrity and to develop new custom data products that support multiple use cases (MMM, Custom Analytics, etc.). Additionally, you will coordinate and lead both small and large working sessions withbusiness stakeholders that drive to conclusions,agreement,and outcomes. Key Responsibilities Data custodian for the P&I team to build and maintain data sets for reporting, insights, custom analytics and visualizations; creating clear documentation and managing accessible data libraries Create new data products that align with evolving P&I reporting needs and result in time and efforts savings for analysts. Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support. Data Warehousing Identify new data sets that can be integrated into existing reporting platforms to enrich our reporting & insights Continue to develop and help drive the strategy for the different data need including data architecture, reporting, insights, analytics, MMM, etc Data Quality and Reliability Develop procedures to enhance the accuracy and integrity of data by performing data analysis as well as by collaborating with product team to enhance data collection and storage procedures Ensure that the data from different sources which flows in the analyst facing products is consistent and accurate for all business use cases Ensure data accuracy, as well as reporting output quality control, as required also troubleshoot and identify root causes for data inaccuracy- manual v/s system errors Work with Cross-functional teams Product, Measurement, BII & GTM to align on the data strategy/ data roadmaps and implement solutions. Contribute to team-upskilling efforts required to familiarize them with the data products as well as also address any data challenges faced by them About You: 5-7 yrs of working experience; designing, building, and optimizing data structures for ETL processes, data wrangling & processing large data, cleaning and preparing data, querying data, and conducting exploratory analysis with a strong foundation in data strategy. Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering. Knowledge of database structures, building and improving scalable datasets, and managing data pipelines and infrastructures Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark and Scala desired but not mandatory Proven hands-on experience developing and preparing datasets for use in business intelligence (BI) tools such Domo (mandatory), Tableau, and Power BI are good to have) Knowledgeable in data models, data mining, and segmentation techniques. Background in Ad-tech or Retail Media Network Experience is desirable but not mandatory Excellent oral and written communication skills and the ability to summarize and present complex information in a clear and concise manner to technical and non-technical audience Experience and passion for using data to explain or solve complex business problems and influence the invention of new systematic and operational processes Experience working with ambiguity in a dynamic and challenging environment to drive long-term sustainable solutions Proven experience of achieving results by leading, partnering, and influencing peers and leaders

About the Role: Grade Level (for internal use): 11 The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data / software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management) S&P Global Enterprise Data Organization is a unified, cross-divisional team focused on transforming S&P Globals data assets. We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ---- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Role & responsibilities Design, develop, and maintain scalable enterprise data architecture incorporating data warehouse, data lake, and data mesh concepts Create and maintain data models, schemas, and mappings that support Reporting, business intelligence, analytics, and AI/ML initiatives Establish data integration patterns for batch and real-time processing using AWS services (Glue, DMS, Lambda), Redshift, Snowflake or Data Bricks [KM1] . Define technical specifications for data storage, data processing, and data access patterns Develop data models and enforce data architecture standards [KM2] , policies, and best practices Partner with business stakeholders to translate requirements into architectural solutions Lead data modernization initiatives, including legacy system migrations Create roadmaps for evolving data architecture to support future business needs Provide expert guidance on complex data problems and architectural decisions Preferred candidate profile Bachelors degree in computer science, Information Systems, or related field; Masters degree preferred 8+ years of experience in data architecture, database design, data modelling or related roles[KM1] 5+ years of experience with cloud data platforms, particularly AWS data services 3+ years of experience architecting MPP database solutions (Redshift, Snowflake, etc.) Expert knowledge of data warehouse architecture and dimensional modelling Strong understanding of AWS [KM2] data services ecosystem (Redshift, S3, Glue, DMS, Lambda) Experience with SQL Server and migration to cloud data platforms Proficiency in data modelling, entity relationship diagrams, and schema design Working knowledge of data integration patterns and technologies (ETL/ELT, CDC) Experience with one or more programming/scripting languages (Python, SQL, Shell) Familiarity with data lake architectures and technologies (Parquet, Delta Lake, Athena) Excellent verbal and written communication skills, with ability to translate complex technical concepts to varied audiences Strong stakeholder management and influencing skills Experience implementing data warehouse, data lake and data mesh architectures Good to have knowledge of machine learning workflows and feature engineering Understanding of regulatory requirements related to data (Fed Ramp, GDPR, CCPA, etc.)[KM3] Experience with big data technologies [KM4] (Spark, Hadoop)

Overview The Tech Strategy & Enterprise Solutions Consumer Capability at PepsiCo drives personalization at scale by leveraging best-in-class technology stack. The team elevates consumer engagement through Salesforce Marketing Cloud, Data Cloud, MCP, and Service Cloud, enabling targeted campaigns and loyalty initiatives. Responsibilities Collaborate with cross-functional teams, including Business Analysts, Product Owners, and IT teams, to deeply understand Salesforce functionalities, assess risks, and develop robust solutions aligned with business requirements. Govern and maintain compliance with standards, including ISO and CMMI, to ensure alignment with organizational goals. Document solutions with a meticulous and detail-oriented approach, clearly articulating the how and why to build a comprehensive and accessible knowledge base. Act as the SPOC for Salesforce-related queries, ensuring timely and effective resolution. Manage user accounts, security settings, and data tasks such as imports, exports, and cleansing. Customize and maintain Salesforce objects, workflows, dashboards, and reports while ensuring usability and scalability. Monitor system performance, troubleshoot issues, and integrate Salesforce with third-party tools. Qualifications Mandatory Technical Skills Expertise in Salesforce administration, including custom objects, sharing settings, profiles, role hierarchies, Salesforce Shield, and GDPR compliance for secure system management. Proficiency in understanding the Salesforce Data Cloud elated metadata and working Proficiency in Salesforce reporting, analytics, and data visualization tools for decision-making. Familiarity with risk assessment frameworks for system development. Salesforce DataCloud Consultant (required) Salesforce Administrator Certification (required); Advanced certifications like Salesforce Advanced Administrator and Platform App Builder are preferred. Mandatory Non-Technical Skills A keen eye for detail and a proactive approach to identifying issues and inefficiencies. Strong problem-solving skills with the ability to develop and implement long-term solutions. A governance-focused mindset with a commitment to maintaining high operational standards. Effective communication and interpersonal skills to act as a trusted SPOC for stakeholders.