1806 Data Architecture Jobs - Page 11

Let s do this. Let s change the world. In this vital role you will responsible for developing and maintaining the overall IT architecture of the organization. In this role you will be responsible for designing and implementing information system architectures to support business needs. You will analyze requirements, develop architectural designs, evaluate technology solutions, and ensure alignment with industry best practices and standards. You will be working closely with collaborators to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture. Collaborating closely with business clients and key collaborators to align solutions with strategic objectives. Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the solution architecture Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Deliver high-quality Salesforce solutions using LWC, Apex, Flows and other Salesforce technologies. Ensure alignment to established standard methodologies and definitions of done, maintaining high-quality standards in work Create architectural design and data model as per business requirements and Salesforce standard methodologies Proactively identify technical debt and collaborate with the Principal Architect and Product Owner to prioritize and address it effectively Negotiate solutions to complex problems with both the product teams and third-party service providers Build relationships and work with product teams; contribute to broader goals and growth beyond the scope of a single or your current project What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years of Computer Science, IT or related field experience Preferred Qualifications: Strong architectural design and modeling skills Proficiency in Salesforce Health Cloud / Service Cloud implementation for a Call Center Solid hands-on experience of implementing Salesforce Configurations, Apex, LWC and integrations Solid understanding of declarative tools like Flows and Process Builder Proficiency in using Salesforce tools such as Data Loader, Salesforce Inspector to query, manipulate and export data Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Ability to train and guide junior developers in standard methodologies Familiarity with Agile practices such as User Story Creation and, sprint planning Experience creating proofs of concept (PoCs) to validate new ideas or backlog items. Professional Certifications: Salesforce Admin Salesforce Advanced Administrator Salesforce Platform Developer 1 (Mandatory) Salesforce Platform Developer 2 Platform Builder Salesforce Application Architect Salesforce Health Cloud Accredited Professional (Preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for designing, building, maintaining , analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Basic Qualifications : Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Must have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark ( PySpark , SparkSQL ), workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools ( eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills : Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Career Category Information Systems Job Description Amgen s Precision Medicine technology te am is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include multiomics data (genomics, transcriptomics, proteomics, etc.), clinical study subject measurement and outcome data, images, and specimen inventory data . Our PMED data management , standardization, surfacing, and processing capabilities are pivotal tools in Amgen s goal to accelerate the speed of discovery, and speed to market of advanced precision medications . The Solution and Data Architect will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline . The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions. You will collaborate closely with stakeholders across departments, including data engineering, business intelligence, and IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities: Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Support development planning by break ing down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation of architectural direction, patterns, and standards Present and train engineers and cross-team collaborators on architecture strategy and patterns Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources. Design robust data models , and processing layers, that support both analytical processing and operational reporting needs. Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams. Collaborate with stakeholders to define data requirements, architecture specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience: Master s degree with 6 to 8 years of experience in data management and data solution architecture Bachelor s degree with 8 to 10 years of experience in in data management and data solution architecture Diploma and 10 to 12 years of experience in in data management and data solution architecture Functional Skills: Must-Have Skills : Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 7 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design , DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms ( AWS ), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional h ands - on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role): ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft Certified: Data Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources .

Overview We are seeking a Senior Engagement Manager with proven experience in leading data projects using Agile methodologies. This role requires expertise in managing Databricks platform implementations and migrations, with a focus on healthcare industry data projects. The ideal candidate will have a modern approach to tracking and managing dependencies across complex data initiatives. About the Role As a Senior Engagement Manager, you will be responsible for ensuring successful delivery of Databricks-based Modern Data Platform implementations. You will lead client engagements from inception to completion, working closely with cross-functional teams to deliver high-value data solutions that meet business objectives and technical requirements. Key Responsibilities Lead client engagements for Databricks platform implementations and migrations from legacy systems Apply Agile methodologies to manage project delivery, ensuring iterative value creation and continuous improvement Develop and maintain project plans, timelines, and resource allocations using modern tracking tools and approaches Manage project dependencies, risks, and issues with sophisticated tracking mechanisms Serve as the primary point of contact between client stakeholders and delivery teams Collaborate with technical teams to ensure solutions meet client requirements and adhere to best practices Conduct regular status meetings and provide transparent reporting on project progress Manage project scope, timeline, and budget to ensure successful delivery within constraints Identify and mitigate project risks proactively Drive client satisfaction throughout the engagement lifecycle Identify opportunities for additional services and project extensions Facilitate knowledge transfer to client teams Document project outcomes, lessons learned, and best practices Qualifications 6+ years of experience managing data projects, with a focus on Agile delivery methodologies Proven track record of successfully implementing data solutions in the healthcare industry Experience with Databricks platform implementations and migrations from legacy systems Strong understanding of modern data architecture, including Lakehouse concepts Expertise in Agile project management frameworks (Scrum, Kanban, SAFe) Experience with modern project tracking tools and dependency management approaches Excellent client relationship management skills Strong communication and presentation abilities at all organizational levels Ability to translate complex technical concepts into business value Experience managing cross-functional teams Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Professional certifications such as PMP, PMI-ACP, CSM, or equivalent Technical Knowledge Basic understanding of Databricks platform and ecosystem Modern data architecture principles Agile project management methodologies and tools Data migration strategies and approaches Cloud platforms (AWS, Azure, GCP) Data engineering and analytics workflows Project tracking and dependency management tools Risk management frameworks Budget and resource management

The Data Manager will be responsible for designing, implementing, and maintaining our data management systems, policies, and procedures. This includes ensuring data quality, integrity, and security, as well as providing data insights and analytics to support business and program decisions and impact communication. Product and Data Manager Job Summary The Data Manager will be responsible for designing, implementing, and maintaining our data management systems, policies, and procedures. This includes ensuring data quality, integrity, and security, as well as providing data insights and analytics to support business and program decisions and impact communication. Roles and Responsibilities Data Governance: Develop, implement, and maintain data management policies, procedures, and standards to ensure data quality, integrity, and security. The objective is to streamline and aggregate all org data into one system and platform. Data Architecture: Design and implement data management systems for all verticals and projects including data collection tools, dashboards for visualisation and communication and dissemination to the right stakeholders. Data Quality: Develop and implement data quality metrics and monitoring/ auditing systems to ensure data accuracy, completeness, and consistency. Data Security: Ensure data security and compliance with relevant regulations. Data Analytics: Provide data insights and analytics regularly to support business decisions, including data visualization, reporting, and analysis. Stakeholder Management: Collaborate with stakeholders, including business leaders, data analysts, and IT teams, external consultants to understand data requirements, keep updated on new tools and technologies and provide data solutions. Data Documentation: Maintain accurate and up-to-date data documentation Team Management: Supervise and mentor team members across verticals to drive a culture of data-driven decision making in the organization. Qualifications Education: Bachelors degree in Computer Science, Information Technology, or related field. Experience: Minimum 5 years of experience in data management, data analytics, or related field. Skills: Strong knowledge of data management principles, data governance, and data quality. Experience with data management tools. Proficiency in data analysis and visualization tools, such as Tableau, Power BI, or D3.js. Strong understanding of data security and compliance regulations. 5. Excellent communication and project management skills.

Job Description: As a Senior Data Architect, you will be instrumental in shaping the bank s enterprise data landscape supporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams. Responsibilities 1. Enterprise Data Architecture & Solution Design Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality. Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles. Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data. Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services. 2. Data Modelling and Semantics Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains. Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics. Support modelling use cases across regulatory, operational, and analytical data assets. 3. Architecture Standards & Frameworks Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms. Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction. Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics. 4. Leadership, Collaboration & Strategy Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery. Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy. Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application. Skills Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution. Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing. Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar. Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services. Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches. Strong grasp of data governance, privacy, security, and regulatory compliance especially as they intersect with architectural decision-making. Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders. Experience working across business domains including Risk, Finance, Treasury, or Front Office functions. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: : we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).

Job Description: This role is for a motivated and curious Data Architect / Data Engineer to join the Group Architecture team. This is a hands-on role focused on the development of tools, prototypes, and reference solutions that support enterprise data architecture standards. The successful candidate will work with senior architects and engineers to enable the adoption of best practices across data platforms, pipelines, and domains, helping to ensure scalable, secure, and consistent data delivery across the organization. Group Architecture is responsible for setting the strategic direction for technology architecture across the enterprise. The team partners with all business divisions to define architecture principles and standards, evaluate emerging technologies, and guide implementation through hands-on support, tooling, and governance. Responsibilities Design and develop lightweight tools, scripts, and utilities that support the implementation and adoption of data architecture standards (e.g., metadata enrichment, model validation, lineage capture, standard compliance checks). Contribute to the development of reference implementations and prototypes demonstrating approved data architecture patterns. Support the creation and enhancement of data pipelines, APIs, and other data integration components across various platforms. Assist in the evaluation and testing of new tools, frameworks, or services for potential use in the data architecture landscape. Collaborate with senior architects, engineers, and business stakeholders to gather requirements and deliver technical solutions that meet enterprise standards. Prepare and maintain documentation, dashboards, and visual materials to communicate technical concepts and track adoption of architecture standards. Participate in architecture review forums and support data governance processes as needed. Skills Foundational experience in data engineering or software development, with the ability to write clean, maintainable code in Python, SQL, or other languages. Exposure to cloud platforms (such as GCP, AWS, or Azure) and experience with relevant data services and APIs. Interest in or experience developing internal tools or automation scripts to improve engineering workflows. Familiarity with concepts such as data lineage, metadata, data quality, or governance is a plus. Understanding of basic architecture principles and willingness to apply them in practical solution design. Ability to work collaboratively in a cross-functional team, take initiative, and communicate effectively with technical and non-technical stakeholders. Exposure to business intelligence tools like Looker, Tableau, or similar. Understanding of data modeling, even at a high level, is beneficial but not a core focus. Experience with Git, CI/CD, or cloud-native development practices. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: : we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).

Position Summary: We are seeking a highly motivated and experienced Business Analyst (BA) to act as a critical liaison between our Clients and the Rackspace technical delivery team. The BA will be responsible for eliciting, analyzing, validating, and documenting business requirements related to data ingestion, processing, storage, reporting, and analytics. This role requires a strong understanding of business analysis principles, data concepts, and the ability to quickly grasp the nuances of airline operations (both passenger and cargo) and their supporting systems. Key Responsibilities: Requirement Elicitation & Analysis: Collaborate closely with client stakeholders across various departments to understand their business processes, pain points, and data needs. Conduct workshops, interviews, and document analysis to elicit detailed functional and non-functional requirements for the data platform. Analyze data originating from diverse source systems Translate business needs into clear, concise, and actionable requirements documentation (e.g., user stories, use cases, business process models, data mapping specifications). Data Focus: Analyse source system data structures and data relationships relevant to business requirements. Define business rules for data transformation, data quality, and data validation. Develop detailed source-to-target data mapping specifications in collaboration with data architects and engineers. Define requirements for reporting, dashboards, and analytical use cases, identifying key metrics and KPIs. Contribute to the definition of data governance policies and procedures from a business perspective Stakeholder Management & Communication Serve as the primary bridge between the airline client's business users and the Rackspace technical team (Data Engineers, Data Architects). Clearly articulate business requirements and context to the technical team and translate technical considerations back to the business stakeholders. Facilitate effective communication and collaboration sessions. Documentation & Support Create and maintain comprehensive requirements documentation throughout the project. Develop process flow diagrams (As-Is and To-Be) to visualize data flows. Assist in the creation of test cases and scenarios. Support User Acceptance Testing (UAT) by clarifying requirements and validating results against business needs. Support project management activities, including scope management and change request analysis. Required Qualifications Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field. 5+ years of experience as a Business Analyst, with a proven track record on data-centric projects (e.g., Data Warehousing, Business Intelligence, Data Analytics, Data Migration, Data Platform implementation). Strong analytical and problem-solving skills with the ability to understand complex business processes and data landscapes. Excellent requirements elicitation techniques (interviews, workshops, surveys, document analysis). Proficiency in creating standard BA artifacts (BRDs, User Stories, Use Cases, Process Flows, Data Mapping). Exceptional communication (written and verbal), presentation, and interpersonal skills. Experience working directly with business stakeholders at various levels. Ability to manage ambiguity and work effectively in a fast-paced, client-facing environment. Understanding of data modelling principles. Preferred Qualifications Experience working within the healthcare industry (knowledge of clinical workflows, EHR/EMR systems, medical billing, patient data privacy, care coordination, or public health analytics is a significant plus). Specific experience analyzing data from or integrating with systems like Epic, Cerner, Meditech, Allscripts, or other healthcare-specific platforms . Proficiency in SQL for data analysis and querying. Familiarity with Agile/Scrum methodologies. Experience with BI and data visualization tools (e.g., Tableau, Power BI, Qlik). CBAP or similar Business Analysis certification.

Overview We are seeking an experienced Data Modeller with expertise in designing and implementing data models for modern data platforms. This role requires deep knowledge of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. The ideal candidate will have a proven track record of translating complex business requirements into efficient, scalable data models that support analytics and reporting needs. About the Role As a Data Modeller, you will be responsible for designing and implementing data models for our Databricks-based Modern Data Platform. You will work closely with business stakeholders, data architects, and data engineers to create logical and physical data models that support the migration from legacy systems to the Databricks Lakehouse architecture, ensuring data integrity, performance, and compliance with healthcare industry standards. Key Responsibilities Design and implement logical and physical data models for Databricks Lakehouse implementations Translate business requirements into efficient, scalable data models Create and maintain data dictionaries, entity relationship diagrams, and model documentation Develop dimensional models, data vault models, and other modeling approaches as appropriate Support the migration of data models from legacy systems to Databricks platform Collaborate with data architects to ensure alignment with overall data architecture Work with data engineers to implement and optimize data models Ensure data models comply with healthcare industry regulations and standards Implement data modeling best practices and standards Provide guidance on data modeling approaches and techniques Participate in data governance initiatives and data quality assessments Stay current with evolving data modeling techniques and industry trends Qualifications Extensive experience in data modeling for analytics and reporting systems Strong knowledge of dimensional modeling, data vault, and other modeling methodologies Experience with Databricks platform and Delta Lake architecture Expertise in healthcare data modeling and industry standards Experience migrating data models from legacy systems to modern platforms Strong SQL skills and experience with data definition languages Understanding of data governance principles and practices Experience with data modeling tools and technologies Knowledge of performance optimization techniques for data models Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Professional certifications in data modeling or related areas Technical Skills Data modeling methodologies (dimensional, data vault, etc.) Databricks platform and Delta Lake SQL and data definition languages Data modeling tools (erwin, ER/Studio, etc.) Data warehousing concepts and principles ETL/ELT processes and data integration Performance tuning for data models Metadata management and data cataloging Cloud platforms (AWS, Azure, GCP) Big data technologies and distributed computing Healthcare Industry Knowledge Healthcare data structures and relationships Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) Healthcare data standards (HL7, FHIR, etc.) Healthcare analytics use cases and requirements Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.) Clinical and operational data modeling challenges Population health and value-based care data needs Personal Attributes Strong analytical and problem-solving skills Excellent attention to detail and data quality focus Ability to translate complex business requirements into technical solutions Effective communication skills with both technical and non-technical stakeholders Collaborative approach to working with cross-functional teams Self-motivated with ability to work independently Continuous learner who stays current with industry trends What We Offer Opportunity to design data models for cutting-edge healthcare analytics Collaborative and innovative work environment Competitive compensation package Professional development opportunities Work with leading technologies in the data space This position requires a unique combination of data modeling expertise, technical knowledge, and healthcare industry understanding. The ideal candidate will have demonstrated success in designing efficient, scalable data models and a passion for creating data structures that enable powerful analytics and insights.

Who We Are: As the worlds leading sustainability consulting firm, ERM is uniquely positioned to contribute to the environment and society through the expertise and energy of our employees worldwide. Sustainability is what we do, and is at the heart of both our service offerings and how we operate our business. For our people, our vision means attracting, inspiring, developing and rewarding our people to work with the best clients and on the biggest challenges, thus creating valuable careers. We achieve our vision in a sustainable manner by maintaining and living our ERM values that include Accountability, Caring for our People, Client Focus, Collaboration, Empowerment, and Transparency. ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes. ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status or disability status. Job Description An exciting opportunity has emerged for a seasoned Data Architect to become a vital member of our ERM Technology team. You will report to the Lead Enterprise Architect and join a dynamic team focused on delivering corporate and technology strategic initiatives. The role demands high-level analytical, problem-solving, and communication skills, along with a strong commitment to customer service. As the Data Architect for ERM, you will work closely with both business and technology stakeholders, utilizing your expertise in business intelligence, analytics, data engineering, data management, and data integration to significantly advance our data strategy and ecosystem. Key responsibilities include: Empowered to define the data and information management architecture for ERM. Collaborate with product owners, engineers, data scientists, and business stakeholders to understand data needs across the full product lifecycle. Ensure a shared understanding of our data, including its quality, ownership, and lineage throughout its lifecycle, from initial capture via client interaction to final consumption by internal and external processes and stakeholders. Ensure that our data landscape effectively meets corporate and regulatory reporting requirements. Establish clear ownership and governance for comprehensive data domain models, encompassing both data in motion and data at rest. Provide expert guidance on solution architecture, engineering principles, and the implementation of data applications utilizing both existing and cutting-edge technology platforms. Build a robust data community by collaborating with architects and engineers, leveraging this community to implement solutions that enhance client and business outcomes through data. The successful candidate will have: Proven experience as an enterprise data architect. Experience in end-to-end implementation of data-intensive analytics-based projects encompassing data acquisition, ingestion, integration, transformation and consumption. Proven experience in the design, development, and implementation of data engineering technologies. Strong knowledge of data management and governance principles. A strong understanding of Azure and AWS service landscapes, particularly data services. Proven experience with various data modelling techniques. Understanding of big data architectures and emerging trends in technology. A solid familiarity with Agile methodologies, test-driven development, source control management, and automated testing. Thank you for your interest in ERM.

"The Comms Data Engineering team enables high-quality, data-driven decision-making that improves the way Uber supports Communications, the cost incurred and optimizations.. We are responsible for building and maintaining the foundational data infrastructure around Commumications platform. Our systems serve thousands of support professionals and power real-time dashboards, operational alerts, ML-driven recommendations, and long-term strategy planning. As a Staff Data Engineer, you will be a technical anchor for the team setting the vision for scalable data architecture and ensuring technical excellence across every layer of the stack. Youll have a unique opportunity to influence not just engineering outcomes, but how the company understands and evolves the Communication experience We are looking for engineers who are passionate about solving complex data problems at scale, enjoy working in high-ownership environments, and want to make a real difference in how we support users at Uber. "The Comms Data Engineering team enables high-quality, data-driven decision-making that improves the way Uber supports Communications, the cost incurred and optimizations.. We are responsible for building and maintaining the foundational data infrastructure around Commumications platform. Our systems serve thousands of support professionals and power real-time dashboards, operational alerts, ML-driven recommendations, and long-term strategy planning. As a Staff Data Engineer, you will be a technical anchor for the team setting the vision for scalable data architecture and ensuring technical excellence across every layer of the stack. Youll have a unique opportunity to influence not just engineering outcomes, but how the company understands and evolves the Communication experience We are looking for engineers who are passionate about solving complex data problems at scale, enjoy working in high-ownership environments, and want to make a real difference in how we support users at Uber. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

What you ll do: Key Areas of Responsibility: Strategic Planning and Execution: Owns the complete responsibility of DHE deliverables from teams in EIIC . End to End DHE development, test and delivery Approach and Strategy. Ensuring First Time Right Sprint deliverables from team by adopting the best development practices Oversee the development and delivery of critical platform features as defined by platform roadmaps. Leverage work from platform adopters by bringing their work into the platform through inner-sourcing. The manager plays a key role in forecasting future resource needs and aligning them with profit planning. Contribute to the overall embedded software platforms strategy to maximize business impact. Cross-Functional Collaboration: DHE currently managing 30+ NPI programs and expected gro upto 50 by Q2 2026. This role requires coordination with product teams, NPI programs, and other platform stakeholders to ensure seamless integration and delivery . Analyze delivery plans for schedule risks, develop, and communicate alternate solutions proactively. People Leadership: Building Capability RTOS, Linux and QA platform teams. Manages the hiring, upskilling, competency management of the DHE team with the help of managers under this role Responsible for mentoring and developing talent, conducting performance reviews, and fostering a culture of accountability and innovation Process Ownership: Oversees the DHE engagement operating model, including SAFe release train participation, delivery reporting, and cost/chargeback mechanisms . Continuously improve the development process, quality attainment, automation, DevOps,and AI enabled development tools used to deliver software with year over year improvements to productivity Qualifications: B.E. / B Tech / M Tech 15+ years experience Skills: The DHE Manager is expected to bring a blend of technical, strategic, and leadership capabilities: Technical Expertise: Deep understanding of embedded systems, RTOS, Linux platform evolution, DevOps practices, and test automation. The manager must ensure that all contributions meet rigorous quality and compliance standards Leadership and Collaboration: Proven track record of leading cross-functional teams and driving the adoption of best practices across the organization. Strong stakeholder engagement skills to manage expectations and ensure alignment between technical architecture and business objectives. Problem-Solving Skills: Excellent analytical and problem-solving abilities to identify risks within the data architecture and take proactive steps to mitigate potential issues. Communication Skills: Strong verbal and written communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders. Emotional Intelligence, Ownership & Commitment, Stakeholder Partnership, Network Performance, Customer Centricity, Judgment and Learning Agility

Role Overview We are seeking a highly skilled and experienced Data Manager to lead the development, governance, and utilization of enterprise data systems. This is a strategic leadership role focused on ensuring seamless and secure flow of data across our platforms and teams, enabling timely and accurate access to actionable insights. The ideal candidate brings a strong foundation in data architecture, governance, and cloud-native systems, combined with hands-on experience managing cross-functional teams and implementing scalable, secure, and cost-efficient data solutions. Your Objectives Optimize data systems and infrastructure to support business intelligence and analytics. Implement best-in-class data governance, quality, and security frameworks. Lead a team of data and software engineers to develop, scale, and maintain cloud-native platforms. Support data-driven decision-making across the enterprise Key Responsibilities Develop and enforce policies for effective and ethical data management. Design and implement secure, efficient processes for data collection, storage, analysis, and sharing. Monitor and enhance data quality, consistency, and lineage. Oversee integration of data from multiple systems and business units. Partner with internal stakeholders to support data needs, dashboards, and ad hoc reporting. Maintain compliance with regulatory frameworks such as GDPR and HIPAA. Troubleshoot data-related issues and implement sustainable resolutions. Ensure digital data systems are secure from breaches and data loss. Evaluate and recommend new data tools, architectures, and technologies. Support documentation using Atlassian tools and develop architectural diagrams. Automate cloud operations using infrastructure as code (e.g., Terraform) and DevOps practices. Facilitate inter-team communication to improve data infrastructure and eliminate silos. Leadership & Strategic Duties Manage, mentor, and grow a high-performing data engineering team. Lead cross-functional collaboration with backend engineers, architects, and product teams. Facilitate partnerships with cloud providers (e.g., AWS) to leverage cutting-edge technologies. Conduct architecture reviews, PR reviews, and drive engineering best practices. Collaborate with business, product, legal, and compliance teams to align data operations with enterprise goals. Required Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field. 1015 years of experience in enterprise data architecture, governance, or data platform development. Expertise in SQL, data modelling, and modern data tools (e.g., Snowflake, dbt, Fivetran). Deep understanding of AWS cloud services (Lambda, ECS, RDS, DynamoDB, S3, SQS). Proficient in scripting (Python, Bash) and CI/CD pipelines. Demonstrated experience with ETL/ELT orchestration (e.g., Airflow, Prefect). Strong understanding of DevOps, Terraform, containerization, and serverless computing. Solid grasp of data security, compliance, and regulatory requirements Preferred Experience (Healthcare Focused) Experience working in healthcare analytics or data environments. Familiarity with EHR/EMR systems such as Epic, Cerner, Meditech, or Allscripts. Deep understanding of healthcare data privacy, patient information handling, and clinical workflows Soft Skills & Team Fit Strong leadership and mentoring mindset. Ability to manage ambiguity and work effectively in dynamic environments. Excellent verbal and written communication skills with technical and non-technical teams. Passionate about people development, knowledge sharing, and continuous learning. Resilient, empathetic, and strategically focused.

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About the Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in computer science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases

Full stack development experience; experience in Java, Angular and SQL; familiarity with Angular 16+, Containerization Technologies, and CI/CD, Git, and Maven- Experience with GCP and Azure DevOps preferred- Experience with Agile Development Excellent written and verbal communication skills Ability to design solutions to very complex problems Ability to coordinate across teams- Ability to quickly triage critical issues to restore service and then identify root cause and remediation- Must be a team player who shows initiative and is detail-oriented Coaching of Junior developers This position provides leadership in full systems life cycle management (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-) to ensure delivery is on time and within budget- He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance- This position develops and leads AD project activities and integrations- He/She guides teams to ensure effective communication and achievement of objectives- This position researches and supports the integration of emerging technologies- He/She provides knowledge and support for applications development, integration, and maintenance- This position leads junior team members with project related activities and tasks- He/She guides and influences department and project teams- This position facilitates collaboration with stakeholders- Responsibilities: Leads systems analysis and design- Leads design and development of applications- Develops and ensures creation of application documents- Defines and produces integration builds- Monitors emerging technology trends- Leads maintenance and support- Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Technical Skills: Strong proficiency in -Net, -Net Core, C#, REST API- Strong expertise in PostgreSQL- Additional preferred Skills: Docker, Kubernetes- Cloud : GCP and Services: Google Cloud Storage, Pub/Sub- Monitor Tools: Dynatrace, Grafana, API Security and tooling (SonarQube) Agile Methodology Key Responsibilities: Design, develop and maintain scalable C# applications and microservice implementation- Implement RESTful APIs for efficient communication between client and server applications- Collaborate with product owners to understand requirements and create technical specifications- Build robust database solutions and ensure efficient data retrieval- Write clean, maintainable, and efficient code- Conduct unit testing, integration testing, and code reviews to maintain code quality- Work on implementation of Industry Standard protocols related to API Security including OAuth- Implement scalable and high-performance solutions that integrate with Pub/Sub messaging systems and other GCP services BQ, Dataflows, Spanner etc- Collaborate with cross-functional teams to define, design, and deliver new features- Integrate and manage data flows between different systems using Kafka, Pub/Sub, and other middleware technologies- Qualifications: Bachelor s Degree or International equivalent 8+ years of IT experience in -NET/C#- Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Experience with Agile Development, -Net and angular (Min- 5 years) Experience in full stack development Experience in architecture and design with a proven track record of creating and supporting new large scale/operationally critical software products- Excellent verbal and written communication skills Experience in mobile development (Xamarin and Maui) Secondary Skills: Messaging (Active MQ) Application Containerization (Kubernetes, Red Hat Open Shift) Experience with public cloud (e-g-, Google, Azure) Willingness to learn new technologies Desire to influence technical roadmaps Qualifications: 7-12 years of experience Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Experience with Agile Development, -Net and angular (Min- 5 years) Experience in full stack development Experience with Azure DevOps Experience in architecture and design with a proven track record of creating and supporting new large scale/operationally critical software products- Excellent verbal and written communication skills Experience in mobile development (Xamarin and Maui) Secondary Skills: Messaging (Active MQ) Application Containerization (Kubernetes, Red Hat Open Shift) Experience with public cloud (e-g-, Google, Azure) Willingness to learn new technologies Desire to influence technical roadmaps Qualifications: 7-12 years of experience Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Senior App Developer with minimum 5+ years experience developing applications Experience creating REST services (APIs) keeping microservice design patterns in mind Familiarity with Spanner / SQL Server Experience creating integration services to consume/process data from other systems Familiarity with GCP PubSub / AMQP is helpful needed Able to create CI/CD pipeline for the above services (Jenkins / Terraform) Able to create relevant documentation for each of the services Perform design reviews and code reviews Experience providing real time knowledge transfer to UPS team Establish UPS best practices in design/coding/testing Provide best practices for performance tuning Familiarity with testing, automation, and BDD testing frameworks is desired as well- Provide best practices for distributed logging and aggregating them to have appropriate instrumentation for all services Develop microservices keeping in mind best practices for cloud native applications (GCP GKE / OpenShift) Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Experience developing Native Mobile apps for Android platform using Kotlin and Jetpack Compose Knowledge of Restful services, CI/CD pipelines Familiarity with Object Oriented Analysis & Design Familiarity with Agile and Scrum concepts Excellent written and verbal communication skills Good research skills and effective communication Follows Agile and SAFe practices Experience: 7-12 years (Middle Tier - Senior/Leads) Mobile Application Team Working on Native Mobile apps for Android and iOS platforms Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Full stack development experience; Java, JavaScript, ActiveMQ, Angular, Springboot, Couchbase, Containerization Technologies, CI/CD, Experience with GCP preferred- Experience with Agile Development Excellent written and verbal communication skills Must be a team player who shows initiative and is detail-oriented Coaching of Junior developers This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities : Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills Mastery of Core Java concepts and Java EE- Extensive experience with Spring and Spring Boot- Good experience with CI/CD code automation and DevOps Good experience with GCP Good experience with OpenShift Good experience with Angular Strong understanding of software architecture and design principles- Ability to design scalable, maintainable, and efficient Java & -Net applications- Understanding of data structures, programming logic, and design Understanding of application design patterns Excellent written & verbal communication skills Excellent attention to detail Secondary Skills Experience using ArgoCD Expert with Structured Query Language (SQL) Experience using OAuth/OIDC Qualifications 7+ years of experience Bachelor s Degree or International equivalent

Full stack development experience; experience in Java, Angular and SQL; familiarity with Angular 16+, Containerization Technologies, and CI/CD, Git, and Maven- Experience with GCP and Azure DevOps preferred - Experience with Agile Development Good written and verbal communication skills Ability to design solutions for complex problems Must be a team player who shows initiative and is detail-oriented Coaching of Junior developers This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Net/C# (SOLID, Webservice/Microservices) Backend (C#, SQL,Web services calls) SQL Server/Cosmos DB Visual Studio, Git Testing (Unit testing/MOQ/Subsitute/etc) Minimum 1+ years as working Technical Development Lead Secondary Skills: Cloud(Azure) Agile/SAFe(process, ceremonies) Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

This position provides input, support, and performs full systems life cycle management activities (e-g-, analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements- This position provides input to applications development project plans and integrations- He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives- This position provides knowledge and support for applications development, integration, and maintenance- He/She provides input to department and project teams on decisions supporting projects- Responsibilities: Performs systems analysis and design- Designs and develops moderate to highly complex applications- Develops application documentation- Produces integration builds- Performs maintenance and support- Supports emerging technologies and products- Primary Skills: Experience developing Native Mobile apps for Android platform using Kotlin and Jetpack Compose Knowledge of Restful services, CI/CD pipelines Familiarity with Object Oriented Analysis & Design Familiarity with Agile and Scrum concepts Excellent written and verbal communication skills Good research skills and effective communication Follows Agile and SAFe practices Experience: 7-12 years (Middle Tier - Senior/Leads) Mobile Application Team Working on Native Mobile apps for Android and iOS platforms Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred