Data Architect

<strong>Job Requirements </strong><br><p><strong>Who We Are:</strong></p><p>Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.</p><p>We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.</p><p><strong>Data Architect </strong></p><p>A Data Architect works in complex data projects with a focus on </p><ul><li style="text-align: justify;">Collating data requirements from data consumer teams, standardizing the data architecture and working with data supply teams to implement data products </li><li style="text-align: justify;">Building data product validation plans and executing them to ensure the delivery of quality data products</li></ul><p style="text-align: justify;">You will work with product managers, solution business analysts, data developers & testers, architects and data platform stakeholders to understand the customer business cases, their data needs and confirming the data product quality across multiple dimensions to support improved decision making for the customer.</p><p><strong>Key Accountabilities</strong></p><ol><li>Understand data product requirements and document data specifications including business rules for data acquisition, processing and presentation</li><li>Design data architecture and canonical data models enabling data product/service standardization</li><li>Collaborate with supplier teams to build and deliver the data products</li><li>Design, build and execute data validation plans for complex data management solutions built on traditional and modern data processing frameworks. </li><li>Identify errors, document & communicate them to delivery teams, and collaborate with them to achieve an acceptable data quality standard</li><li>Understand the data lineage and prepare data test cases to validate the data during every stage of the data processing journey.</li><li><span style="color: black; background-color: white;">Collaborate with DevOps and Infra team members to build data quality regression suite</span></li><li><span style="color: black; background-color: white;">Develop database (SQL/No-SQL/Python) scripts for verification of data at extraction, transformation and loading phases by verifying the data mapping & transformation rules.</span></li><li><span style="color: black; background-color: white;">Manage and mentor junior data analysts to achieve product delivery and data quality objectives</span></li><li><span style="color: black; background-color: white;">Participate actively in Scrum meetings with the development team, Product Owner, Architects and Scrum Master and provide up-to-date testing feedback.</span></li><li><span style="color: black; background-color: white;">Collaborate with Product Manager to improve product testing through regression testing and User Acceptance Test (UAT) processes.</span></li><li><span style="color: black; background-color: white;">Responsible for overall data product and quality strategy for Data Management from requirement through test coverage planning to product delivery with relentless focus on quality and continuous improvement for compliance.</span></li></ol><p><strong>Key Experience and Qualifications</strong></p><p> </p><ol><li>Degree level education in Mathematics, Computing or Engineering discipline or equivalent experience.</li><li><strong>10+ years of experience at various levels of Data management and/or data quality roles with at least 3+ years leading a data team</strong></li><li><strong>Experience in documenting, planning, designing and executing data engineering and data quality verification processes in the context of complex Data Engineering & Analytics projects.</strong></li><li><strong style="color: black; background-color: white;">Strong experience with SQL, Python, PySpark for data analysis, validation against product specification and data reconciliation</strong><span style="color: black; background-color: white;">, preferably in Azure Data Platform setup</span></li><li>Experience of working in an agile environment, within a self-organizing team, managing small teams of data analysts and/or data testers</li></ol><p><strong>Desirable</strong></p><ol><li>Experienced in DevOps methodology, preferably using Azure DevOps.</li><li>Experience with modern data integration/engineering tools is a plus.</li><li>Exposure to test methodologies and developing test plans using Microsoft based test tools like MTM, Azure Test Plans</li><li>Exposure to planning non-functional testing in a large Data Processing environment including performance, load and integration testing</li></ol><br><br><strong>Work Experience </strong><br><p><strong>Data Architect </strong></p><p>A Data Architect works in complex data projects with a focus on </p><ul><li style="text-align: justify;">Collating data requirements from data consumer teams, standardizing the data architecture and working with data supply teams to implement data products </li><li style="text-align: justify;">Building data product validation plans and executing them to ensure the delivery of quality data products</li></ul><p style="text-align: justify;">You will work with product managers, solution business analysts, data developers & testers, architects and data platform stakeholders to understand the customer business cases, their data needs and confirming the data product quality across multiple dimensions to support improved decision making for the customer.</p><p><strong>Key Accountabilities</strong></p><ol><li>Understand data product requirements and document data specifications including business rules for data acquisition, processing and presentation</li><li>Design data architecture and canonical data models enabling data product/service standardization</li><li>Collaborate with supplier teams to build and deliver the data products</li><li>Design, build and execute data validation plans for complex data management solutions built on traditional and modern data processing frameworks. </li><li>Identify errors, document & communicate them to delivery teams, and collaborate with them to achieve an acceptable data quality standard</li><li>Understand the data lineage and prepare data test cases to validate the data during every stage of the data processing journey.</li><li><span style="color: black; background-color: white;">Collaborate with DevOps and Infra team members to build data quality regression suite</span></li><li><span style="color: black; background-color: white;">Develop database (SQL/No-SQL/Python) scripts for verification of data at extraction, transformation and loading phases by verifying the data mapping & transformation rules.</span></li><li><span style="color: black; background-color: white;">Manage and mentor junior data analysts to achieve product delivery and data quality objectives</span></li><li><span style="color: black; background-color: white;">Participate actively in Scrum meetings with the development team, Product Owner, Architects and Scrum Master and provide up-to-date testing feedback.</span></li><li><span style="color: black; background-color: white;">Collaborate with Product Manager to improve product testing through regression testing and User Acceptance Test (UAT) processes.</span></li><li><span style="color: black; background-color: white;">Responsible for overall data product and quality strategy for Data Management from requirement through test coverage planning to product delivery with relentless focus on quality and continuous improvement for compliance.</span></li></ol><p><strong>Key Experience and Qualifications</strong></p><p> </p><ol><li>Degree level education in Mathematics, Computing or Engineering discipline or equivalent experience.</li><li><strong>10+ years of experience at various levels of Data management and/or data quality roles with at least 3+ years leading a data team</strong></li><li><strong>Experience in documenting, planning, designing and executing data engineering and data quality verification processes in the context of complex Data Engineering & Analytics projects.</strong></li><li><strong style="color: black; background-color: white;">Strong experience with SQL, Python, PySpark for data analysis, validation against product specification and data reconciliation</strong><span style="color: black; background-color: white;">, preferably in Azure Data Platform setup</span></li><li>Experience of working in an agile environment, within a self-organizing team, managing small teams of data analysts and/or data testers</li></ol><p><strong>Desirable</strong></p><ol><li>Experienced in DevOps methodology, preferably using Azure DevOps.</li><li>Experience with modern data integration/engineering tools is a plus.</li><li>Exposure to test methodologies and developing test plans using Microsoft based test tools like MTM, Azure Test Plans</li><li>Exposure to planning non-functional testing in a large Data Processing environment including performance, load and integration testing</li></ol><br><br>