97 Data Architect Jobs - Page 3

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

KPI Partners, a leader in providing analytics and data management solutions, is seeking a highly skilled **Senior Data Architect** to join our dynamic team. This position offers an exciting opportunity to work on innovative data solutions that drive business value for our clients. You will be responsible for designing, developing, and implementing data architectures that align with our organizational goals and client requirements. Key Responsibilities: - Lead the design and implementation of data architecture solutions, ensuring alignment with best practices and compliance standards. - Develop comprehensive data models to support different business applications and analytical needs. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Oversee the integration of SAP and other data sources into the Datasphere platform. - Create strategies for data governance, quality assurance, and data lifecycle management. - Ensure scalability and performance of data systems through efficient architecture practices. - Mentor and guide junior data professionals in data architecture and modeling best practices. - Stay updated with industry trends and emerging technologies in data architecture and analytics. Required Skills: - 9 to 12 years of experience in data architecture, data modeling, and data management. - Strong expertise in SAP systems and data integration processes. - Proficient in DataSphere or similar data management platforms. - Solid understanding of data governance, data warehousing, and big data technologies. - Excellent analytical and problem-solving abilities. - Strong communication skills to engage with technical and non-technical stakeholders. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications: - bachelors or masters degree in computer science, Information Systems, or a related field. - Relevant certifications in data architecture or SAP technologies. - Experience in cloud data solutions and platform migrations is a plus. What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and development. - A collaborative work environment fostering innovation and creativity. - The chance to work with cutting-edge technology and notable clients.

Develop and deliver detailed technology solutions through consulting project activities. Evaluate and recommend emerging cloud data technologies and tools to drive innovation and competitive advantage, with a focus on Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Lead the design and implementation of cloud-based data architectures using Azure and Databricks to support the companys strategic initiatives and exploratory projects. Collaborate with cross-functional teams to understand business requirements, architect data solutions, and drive the development of innovative data platforms and analytics solutions. Define cloud data architecture standards, best practices, and guidelines to ensure scalability, reliability, and security across the organization. Design and implement data pipelines, ETL processes, and data integration solutions to ingest, transform, and load structured and unstructured data from multiple sources into Azure data platforms. Provide technical leadership and mentorship to junior team members, fostering a culture of collaboration, continuous learning, and innovation in cloud data technologies. Collaborate with Azure and Databricks experts within the organization and the broader community to stay abreast of the latest developments and best practices in cloud data architecture and analytics.

Position Summary Experienced Senior Data Engineer utilizing Big Data & Gogle Cloud technologies to develop large scale, on-cloud data processing pipelines and data warehouses. What you ll do Consult customers across the world on their data engineering needs around Adobes Customer Data Platform. Support pre-sales discsusions around complex and large scale cloud, data engineering solutions. Design custom solutions on cloud integrating Adobes solutions in scalable and performant manner. Deliver complex, large scale, enterprise grade on-clould data engineer and integration solutions in hand-on manner. Good to have Experience of consulting India customers. Multi-cloud expertise preferable AWS and GCP EXPERIENCE 12-14 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Python, BigQuery

Experience: 9 - 12 Years Location: Bangalore / Hyderabad Notice Period: Immediate to 15 Days Overview We are looking for a highly experienced and strategic Snowflake Data Architect to lead the transformation and modernization of our data architecture. You will be responsible for designing scalable, high-performance data solutions and ensuring seamless data quality and integration across the organization. This role requires close collaboration with data modelers, business stakeholders, governance teams, and engineers to develop robust and efficient data architectures. This is an excellent opportunity to join a dynamic, innovation-driven environment with significant room for professional growth. We encourage initiative, creative problem-solving, and a proactive approach to optimizing our data ecosystem. Responsibilities Architect, design, and implement scalable data solutions using Snowflake . Build and maintain efficient data pipelines using SQL and ETL tools to integrate data from multiple ERP and other source systems. Leverage data mappings, modeling (2NF/3NF) , and best practices to ensure consistent and accurate data structures. Collaborate with stakeholders to gather requirements and design data models that support business needs. Optimize and debug complex SQL queries and ensure performance tuning of pipelines. Create secure, reusable, and maintainable components for data ingestion and transformation workflows. Implement and maintain data quality frameworks , ensuring adherence to governance standards. Lead User Acceptance Testing (UAT) support, production deployment activities, and manage change requests. Produce comprehensive technical documentation for future reference and auditing purposes. Provide technical leadership in the use of cloud platforms (Snowflake, AWS) and support teams through knowledge transfer. Requirements Bachelor s degree in Computer Science, Information Technology, or a related field. 9 to 12 years of overall experience in data engineering and architecture roles. Strong, hands-on expertise in Snowflake with a solid understanding of its advanced features. Proficient in advanced SQL with extensive experience in data transformation and pipeline optimization . Deep understanding of data modeling techniques , especially 2NF/3NF normalization . Experience with cloud-native platforms , especially AWS (S3, Glue, Lambda, Step Functions) is highly desirable. Knowledge of ETL tools (Informatica, Talend, etc.) and working in agile environments . Familiarity with structured deployment workflows (e.g., Carrier CAB process). Strong debugging, troubleshooting , and analytical skills . Excellent communication and stakeholder management skills. Key Skills Snowflake (Advanced) SQL (Expert) Data Modeling (2NF/3NF) ETL Tools AWS (S3, Glue, Lambda, Step Functions) Agile Development Data Quality & Governance Performance Optimization Technical Documentation Stakeholder Collaboration

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Urgent Opening for Data Architect Position Exp : Min 9yrs Salary : As per industry NP : Immediate joiners are preferred Skills : Databricks, ADF, Python, Synapse JD Job Description Work youll do This role is responsible for data architecture and support in a fast-paced cross-cultural diverse environment leveraging the Agile methodology. This role requires a solid understanding of taking business requirements to define data models and underlying data structures that support a data architecture's design. The person that fills this role is expected to work closely with product owners and a cross-functional team comprising business analysts, software engineers, functional and non- functional testers, operations engineers and project management. Key Responsibilities Collaborate with product managers, designers, and fellow developers to design, develop, and maintain web-based applications and software solutions. Write clean, maintainable, and efficient code, adhering to coding standards and best practices. Perform code reviews to ensure code quality and consistency. Troubleshoot and debug software defects and issues, providing timely solutions. Participate in the entire software development lifecycle, from requirements gathering to deployment and support. Stay up to date with industry trends and emerging technologies, incorporating them into the development process when appropriate. Mentor junior developers and provide technical guidance when needed. Qualifications : Technical Skills: Bachelor's degree in computer science, Software Engineering, or a related field. Strong experience in Data Engineering Well versed with Data Architecture 10+ years of professional experience in data engineering & architecture Advanced understanding data modelling and design. Strong database management and design, SQL Server preferred. Strong understanding of Databricks & Azure Synapse. Understanding of data pipeline/ETL frameworks and libraries. Experience with Azure Cloud Components (PaaS) and DevOps is required. Experience working in Agile and SAFe development processes. Excellent problem-solving and analytical skills. Other Skills Strong organizational and communication skills. Flexibility, energy and ability to work well with others in a team environment The ability to effectively manage multiple assignments and responsibilities in a fast-paced environment Expert problem solver. Finding simple answers to complex questions or problems. Should be able to learn and upskill on new technologies Drive for results partner with product owners to deliver on short- and long-term milestones Experience working with product owners and development teams to document and clarify business and user requirements and manage scope of defined features and functions during project lifecycle Critical thinking-able to think outside the box; use knowledge gained through prior experience, education, and training to resolve issues and remove project barriers Strong written and verbal communication skills with the ability to present and to collaborate with business leaders Experience interfacing with external software design and development vendors preferred Being a team player that can deliver in a high pressure and high demanding environment If anyone interested, Kindly share your resume on vidya.raskar@newvision-software.com Regards Vidya

Role & responsibilities Data Architect, Snowflake Database Architect/Data Modeler with 15+ years of experience in AWS, Snowflake. Responsible for the overall architecture and delivery of the solution; including, risk mitigation, issue resolution, coordination with internal and external team.

Hiring for Data Architect- Bangalore Designs and manages an organizations data infrastructure, ensuring data accuracy, accessibility, and security for strategic decision-making . They collaborate with business stakeholders, understand data requirements, and translate them into technical specifications for data models, data warehouses, and BI solutions. Their role involves designing ETL processes, data visualization, and implementing data governance policies.

Data Architect Pune 10+ Years Experience CTC: Upto 40 LPA (Non-Negotiable) Interested candidates can share resumes at : "Kashif@d2nsolutions.com" Immediate Joiners

We are looking for a highly experienced Lead Data Engineer / Data Architect to lead the design, development, and implementation of scalable data pipelines, data Lakehouse, and data warehousing solutions. The ideal candidate will provide technical leadership to a team of data engineers, drive architectural decisions, and ensure best practices in data engineering. This role is critical in enabling data-driven decision-making and modernizing our data infrastructure. Key Responsibilities: Act as a technical leader responsible for guiding the design, development, and implementation of data pipelines, data Lakehouse, and data warehousing solutions. Lead a team of data engineers, ensuring adherence to best practices and standards. Drive the successful delivery of high-quality, scalable, and reliable data solutions. Play a key role in shaping data architecture, adopting modern data technologies, and enabling data-driven decision-making across the team. Provide technical vision, guidance, and mentorship to the team. Lead technical design discussions, perform code reviews, and contribute to architectural decisions.

As the Data Architect and Engagement Lead, you will define the data architecture strategy and lead client engagements , ensuring alignment between data solutions and business goals . This dual role blends technical leadership with client-facing responsibilities. Key Responsibilities: Design scalable data architectures, including storage, processing, and integration layers. Lead technical discovery and requirements gathering sessions with clients. Provide architectural oversight for data and AI solutions . Act as a liaison between technical teams and business stakeholders . Define data governance, security, and compliance standards . Required Qualifications: Bachelor s or master s in computer science, Information Systems, or similar. 7+ years of experience in data architecture, with client-facing experience. Deep knowledge of data modelling , cloud data platforms (Snowflake / BigQuery/ Redshift / Azure), and orchestration tools. Excellent communication, stakeholder management, and technical leadership skills. Familiarity with AI/ML systems and their data requirements is a strong plus.

Position Summary We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities Lead the data architecture design across multiple SAP modules and legacy systems. Define data governance strategies , master data management (MDM), and metadata standards. Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure integration across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Conduct impact assessments and ensure scalability of data architecture. Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications 15+ years of experience in enterprise data architecture , with 8+ years in SAP landscapes . Proven experience in SAP S/4HANA data models , SAP Datasphere , SAP HANA Cloud SAC and integrating this with AWS Data Lake (S3) Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). Expertise in data governance , master data strategy, and data lifecycle management. Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications SAP Certified Technology Associate - SAP S/4HANA / Datasphere TOGAF or other Enterprise Architecture certifications ITIL Foundation (for process alignment) Technical Skills SAP S/4HANA Data Architecture Datasphere, HANA Cloud, SAC, BODS Data Services, LTMC /LSMW, SLT, CPI-DS SQL, HANA Native Modeling Integration with non-SAP systems Cloud Data Architecture (Azure/AWS/GCP) ETL/ELT and Data Quality tools Data Modeling Metadata Management

Senior Data Architect In preparation for your interview please consider the following in relation to the JD - see link above Reasons for applying for this particular role What excites you and why What skills and competencies do you bring to the role What skills and competencies would you need to develop Biggest challenge

Data Architect/Data Modeler role: Scope & Responsibilities: Enterprise data architecture for a functional domain or for a product group. Design and governs delivery of the Domain Data Architecture / ensures delivery as per design. Ensures consistency in approach for the data modelling of the different solutions of the domain. Design and ensure delivery of data integration across the solutions of the domain. General Expertise: Critical: Methodology expertise on data architecture and modeling from business requirements and functional specifications to data modeling. Critical: Data warehousing and Business intelligence data products modeling (Inmon/Kimball/Data Vault/Codd modeling patterns). Business/Functional knowledge of the domain. This requires business terminology understanding, knowledge of business processes related to the domain, awareness of key principles and objectives, business trends and evolution. Master data management / data management and stewardship processes awareness. Data persistency technologies knowledge: SQL (Ansi-2003 for structured relational data querying & Ansi-2023 for XML, JSON, Property Graph querying) / Snowflake specificities, database structures for performance optimization. NoSQL – Other data persistency technologies awareness. Proficient level of Business English & “Technical writing” Nice to have: Project delivery expertise through agile approach and methodologies experience/knowledge: Scrum, SAFe 5.0, Product-based-organization. Technical Stack expertise: SAP Power Designer modeling (CDM, LDM, PDM) Snowflake General Concepts and specifically DDL & DML, Snow Sight, Data Exchange/Data Sharing concepts AWS S3 & Athena (as a query user) Confluence & Jira (as a contributing user) Nice to have: Bitbucket (as a basic user)

Position Details: Junior AI Engineer (Data Engineer) Location: -, Tamil nadu Openings: 1 Salary Range: Description: Job Title: Junior AI Engineer / Data Engineer Location: Chennai Reports To: Senior AI Engineer / Data Architect Job Summary: This role is ideal for an early-career engineer eager to develop robust data pipelines and support AI/ML model development. The Junior AI Engineer will primarily focus on data preparation, transformation, and infrastructure to support scalable AI systems. Key Responsibilities: Build and maintain ETL pipelines for AI applications. Assist in data wrangling, cleaning, and feature engineering. Support data scientists and AI engineers with curated, high-quality datasets. Contribute to data governance and documentation. Collaborate on proof-of-concepts and prototypes of AI solutions. Required Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2+ years of experience in data engineering. Proficient in Python, SQL; exposure to Azure platform is a plus. Basic understanding of AL/ML concepts.

Job Title: Data Architect Experience: 5-10 Years Job Summary: We are looking for an experienced and highly motivated Data Architect to join our team. The ideal candidate will have a strong background in architecture design, and implementing enterprise data solutions. You will play a critical role in shaping our data infrastructure, ensuring scalability, performance, and security across data platforms. Key Responsibilities: Design and implement scalable data architectures for enterprise applications. Develop and maintain conceptual, logical, and physical data models. Define data governance policies and ensure data integrity and security. Collaborate with stakeholders to identify data requirements and translate them into architectural solutions. Lead the evaluation and selection of database technologies and tools. Oversee data integration, data warehousing, and ETL/ELT processes. Optimize database performance and manage data storage solutions. Ensure alignment of data architecture with business and technology strategies. Required Skills Qualifications: Bachelors or Master s degree in Computer Science, Information Systems, or related field. 5-10 years of experience in data architecture, and database design. Strong knowledge of relational (e.g., SQL Server). Expertise in data warehousing, ETL tools (e.g., Informatica, Talend), and big data platforms (e.g., Hadoop, Spark). Strong understanding of data governance, security, and compliance standards. Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery) is a plus. Excellent communication and stakeholder management skills. Preferred Certifications (optional): AWS Certified Data Analytics - Specialty Google Professional Data Engineer Microsoft Certified: Azure Data Engineer Associate

Responsibilities: Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns. Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities. Develop and enforce data modeling standards and best practices for Snowflake environments. Develop, optimize, and maintain Snowflake data warehouses. Leverage Snowflake features such as clustering, materialized views, and semi-structured data processing to enhance data solutions. Ensure data architecture solutions meet performance, security, and scalability requirements. Stay current with the latest developments and features in Snowflake and related technologies, continually enhancing our data capabilities. Collaborate with cross-functional teams to gather business requirements, translate them into effective data solutions in Snowflake and provide data-driven insights. Stay updated with the latest trends and advancements in data architecture and Snowflake technologies. Provide mentorship and guidance to junior data engineers and architects. Troubleshoot and resolve data architecture-related issues effectively. Skills Requirement: 5+ years of proven experience as a Data Engineer with 3+ years as Data Architect. Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing. Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL. SnowSQL Experience in developing stored Procedures writing Queries to analyze and transform data Working experience on ETL tools like Fivetran, DBT labs, MuleSoft Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Relevant certifications (e.g., SnowPro Core / Advanced) are a must have. Must have expertise in AWS. Azure, Salesforce Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Strong communication and exceptional team player with effective problem-solving skills Educational Qualification Required: Masters degree in Business Management (MBA / PGDM) / Bachelor's degree in computer science, Information Technology, or related field.

Position Summary We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities Lead the data architecture design across multiple SAP modules and legacy systems. Define data governance strategies , master data management (MDM), and metadata standards. Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure integration across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Conduct impact assessments and ensure scalability of data architecture. Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications 15+ years of experience in enterprise data architecture , with 8+ years in SAP landscapes . Proven experience in SAP S/4HANA data models , SAP Datasphere , SAP HANA Cloud & SAC and integrating this with AWS Data Lake (S3) Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). Expertise in data governance , master data strategy, and data lifecycle management. Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications SAP Certified Technology Associate - SAP S/4HANA / Datasphere TOGAF or other Enterprise Architecture certifications ITIL Foundation (for process alignment) Technical Skills SAP S/4HANA Data Architecture Datasphere, HANA Cloud, SAC, BODS Data Services, LTMC /LSMW, SLT, CPI-DS SQL, HANA Native Modeling Integration with non-SAP systems Cloud Data Architecture (Azure/AWS/GCP) ETL/ELT and Data Quality tools Data Modeling & Metadata Management

About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About D&A Re The Digital & Tech Re organization is at the forefront of driving the digital transformation for our reinsurance business units across P&C Re, L&H Re and Solutions. We strive to build an inspiring environment for our people to use data and technology to create a sustainable and strategic competitive advantage. Data & Analytics Re is the data arm of Digital & Tech Re. We create innovative analytics, data science and robust data foundation capabilities to generate data-driven insights that serve the heart of Swiss Res business. Together with our business counterparts in Property & Casualty and Life & Health, we work daily to deliver differentiating insights, elevate underwriting excellence and effectively select and manage risk pools. Our team is composed of an international workforce based in different locations and serving a global customer basis, with a large part of our leadership located in Zurich. About the Role Are you an energetic Data Architect who enjoys working with teams to design and deliver exceptional data driven solutions? As a Data Architect you will be responsible for supporting the companies ambition to become a data driven commercial insurer. Working with both internal and external customers, you will need to have strong analytical and conceptual thinking, with the ability to recognize competing requirements and constraints, to balance and negotiate trade-offs. The role is a mix of strong solution architecture awareness combined with a strong background in data modelling and canonical modelling. The role is very much focused on constantly improving the data landscape aimed at democratizing our data assets. You thrive working in an agile, collaborative environment providing knowledge and guidance on the data architecture. Your responsibilities include: High-level architecture and designs for database and data integrations leveraging Conceptual, logical and physical data models. End to end data analysis, from business analysis and data modelling through to data quality assurance, on a major global program in the Commercial Insurance sector in a fast-moving Agile environment. Complex SQL based data analysis Maintenance of the logical and physical data models within a CASE tool (SAP Sybase Power Designer), supporting both SDLC and Agile application development approaches. Collaborate with your customers, understanding their data needs, finding innovative ways to bring data into their daily process. Work with other members of the data team, including data architects, data analysts, data engineers, and data scientists. Create full transparency of data for customers to know what is available and how to use it About you Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our growing team and become part of the next wave of insurance innovation. Your experience Proven track record of delivering results and impact Minimum of 5-7 years as a Data Architect Strong business acumen and a deep strategic mindset Requirements gathering, analysis and prioritization for business processes and data flows, persistence and integration. Conceptual and logical data and physical modeling; (Sybase Power Designer) Data retrieval and manipulation using SQL Data architecture: design for integration of complex data flows from multiple applications Data warehousing design, both dimensional and 3NF SDLC and Agile/SCRUM software development processes Experience working with and understanding the needs of customers or clients (internal or external) Ability to understand and internalize an organization s strategy and culture, and contribute to their implementation and reinforcement through technology architecture and data designs A desire and openness to learning and continuous improvement, both of yourself and your team members Proven analytical skills and experience making decisions based on hard and soft data Commitment to the organization s new way of working through greater collaboration and breaking down of siloes English fluency is a requirement, demonstrating excellent verbal and written communication skills Excellent in team and organizational development by providing the highest quality of services Experience in information & data governance would be a plus Self-motivated and good communication skills Dedication and flexibility; aptitude for fast learning Ideally experience in insurance/reinsurance or financial industry Behavioural Competences Excellent organizational skills. Excellent communication and presentation skills; ability to communicate on different levels of seniority. Team player; enjoying being part of a cross-functional setup. Ability to perform well on time-critical endeavours and on multiple fronts at the time. Strong dedication to quality and client mindset. A passion for learning and continuous improvement, both of yourself and your team members. We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity -diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences - at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks. We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder. About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 133976