Job description

Azure Data Platform Engineering Tech Lead Location: Redmond, WA (Hybrid work out of Capgemini or Microsoft office 2 days a week) Duration: 12+ months Rate: DOE Responsibilities • Drive the strategic planning, execution, governance, and adoption of data platforms. • Lead cross-functional initiatives between Data Platform and Data Operations to enhance metadata management, automate access workflows, and support scalable data operations using Microsoft Fabric, Purview, and Azure ecosystems. • Provide technical leadership on data governance, cataloging, and compliance initiatives with Microsoft Purview. • Define roadmap for Platform Engineering and Operations teams, Lead intake, triage, and delivery of platform capability requests, including onboarding, automation, and access provisioning. • Create a presentation to launch the capability, bring awareness, and lead Discover & Learn sessions. • AI & Automation Integration - Lead the projects of developing Gen AI agents for the platform, Operations, and Engineering excellence • Stakeholder Engagement & Collaboration • Partner with engineering, operations, and governance teams to align strategy, execution, and reporting • Prepare and present strategic decks, walking decks, and roadmap summaries for leadership and cross-functional teams. • Collaborate with cross-functional teams, product owners, and stakeholders to align technical solutions with business needs. • Mentor and guide junior engineers, offshore teams ensuring adherence to engineering best practices. Skills • Strong foundation in Object-Oriented Analysis & Design (OOAD) concepts. • Proficiency in C#, Python, and Scala, with hands-on experience in data interchange formats (JSON, YAML). • Strong knowledge of PowerShell scripting. • Hands-on experience with Microsoft Purview (Data Governance, Catalog Management). • Strong problem-solving and troubleshooting skills with a continuous learning mindset. • Good understanding of Microsoft Fabric. • Experience with database management systems (Azure Cosmos DB, Azure SQL Database, and traditional RDBMS). • Familiarity with the Azure ecosystem: Azure Event Grid/Hubs, Azure Apps/Functions, Azure Stream Analytics. • Hands-on expertise with Azure Synapse & Data Factory (pipeline orchestration, notebook management, deployment workflows). • Strong proficiency in Azure DevOps (ADO). • Solid understanding of CI/CD and DevOps processes. • Knowledge of Data Classification & Glossary Management, and Backup & Recovery Planning. • Understanding of Power BI for reporting and visualization. • Strong collaboration, documentation, and communication skills. • Proficiency in SharePoint and Wiki management. • Experience using Microsoft Teams & Loop components for syncs, sprint reviews, and stakeholder communication. • Deep understanding of Agile methodologies and sprint planning execution.

Requirements