Azure Data Platform Engineering Tech Lead

  • Redmond, WA
  • Posted 6 hours ago | Updated 6 hours ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2

Skills

DevOps Engineer
OpenStack
Automating
Infrastructure
Terraform
Systems engineering
Docker
Kubernetes
C#
ADO
DevOps
lifecycle management
SQL Azure
Python
Reporting
Microsoft Power BI
Meta-data Management
YAML

Job Details

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.