Data Engineering Manager

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The Data Engineering Manager is a hands‑on technical leader responsible for directing the design, development, and execution of our enterprise data architecture and engineering strategies. In this role, you will bridge the gap between high‑level architectural vision and engineering delivery, acting as the primary driver for data pipeline execution. You will manage and build scalable data warehouses, optimize ingestion routines, and deliver robust BI/analytics solutions leveraging Microsoft Azure technologies.

As a subject matter expert, you will establish and enforce architecture, Microsoft Fabric, Dev Ops, security, reliability, data quality, observability, and production‑readiness standards while ensuring those standards are practically implemented through engineering delivery.

The role will also drive AI enablement across Data Engineering and the analytics ecosystem, identifying and implementing capabilities that improve data discovery, insight generation, natural‑language interaction, and the overall business‑user experience.

• Act as a hands‑on technical manager, personally designing, developing, testing, troubleshooting, and optimizing enterprise data solutions.
• Lead enterprise data architecture and technical design, establishing scalable architecture patterns, engineering standards, and guardrails across Microsoft Fabric, data platforms, integration, modeling, security, and analytics.
• Develop and review SQL, T‑SQL, Python, PySpark, dbt, data pipelines, Data Vault models, dimensional models, and Microsoft Fabric solutions as part of day‑to‑day delivery.
• Lead by example through hands‑on development and technical problem solving, particularly for complex, high‑impact, or performance‑critical solutions.
• Serve as the technical authority for enterprise data architecture and Microsoft Fabric, establishing target architecture, solution standards, design patterns, and technical guardrails.
• Conduct architecture, design, and code reviews, ensuring engineering solutions meet scalability, performance, security, maintainability, and reliability standards.
• Establish Microsoft Fabric platform standards covering workspace/capacity architecture, security, performance, scalability, and cost optimization.
• Establish and enforce Dev Ops standards including Git, branching, CI/CD, automated deployments, release management, and environment promotion.
• Define and implement data quality, observability, monitoring, alerting, SLA, and production‑readiness standards.
• Troubleshoot and resolve complex production, performance, data quality, and platform issues, providing technical direction for root‑cause resolution and prevention.
• Drive AI enablement across data engineering and analytics, improving development productivity, automation, testing, troubleshooting, data quality, and operational efficiency.
• Enable AI‑powered Power BI experiences through natural‑language interaction, intelligent insight discovery, assisted analysis, and easier access to trusted enterprise data.
• Evaluate and implement emerging Microsoft Fabric, Power BI, Copilot, and AI capabilities, establishing governed and reusable patterns for enterprise adoption. Mentor engineers through pairing, code reviews, design reviews, technical guidance, and hands‑on engineering collaboration.

• Education:
  
  Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (master’s degree preferred).
• Experience:
  
  8+ years of hands‑on data…