Azure Data Platform Architect ETL

Azure Data Platform Architect with ETL

Location: Redmond, WA (Onsite from day
1)

• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, SQL) and Azure Data Factory.
• Build and maintain a metadata‑driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent‑specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics and AI tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.

• 7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.
• Strong expertise in executive written and oral communication.
• Expertise in Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks).
• Proficiency with Power BI and/or other visualization tools.
• Strong programming skills in SQL, Python, and PySpark/Scala.
• Experience working with structured and semi‑structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata‑driven architectures and reusable components.
• Familiarity with agent‑based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.

Mid‑Senior level

Contract