Data Engineering Manager

A leading built environment company is seeking a Software Engineering Manager (Data Engineering) to lead the team driving its enterprise data transformation. This role will oversee the development and operation of Azure Data Lakehouse, guide the migration from Azure Synapse Analytics to Microsoft Fabric, and establish the architecture, governance, and engineering practices that enable analytics, reporting, and AI-driven decision-making. The ideal candidate is a strong people leader with deep technical expertise in modern data platforms, capable of mentoring engineers, setting technical direction, and partnering across business and technology teams. Based in Seattle, WA, this position follows a hybrid work schedule.

At least 8 years of experience with increasing responsibility in information technology and data systems, including 5 years in data engineering, data platform development, or applications management Proven experience managing and leading software or data engineering teams with a strong focus on cloud-based data platforms. Strong understanding of data modeling concepts, including star schema, medallion architecture, and semantic modeling for analytics. Experience with ETL/ELT pipeline development and data transformation at enterprise scale. Familiarity with Microsoft Purview for data governance, cataloging, and lineage tracking. Experience with or exposure to Master Data Management (MDM) concepts and tooling. Working knowledge of Power BI, including how data engineering supports semantic models, datasets, and enterprise reporting. Experience working in Agile development environments. Strong organizational, prioritization, and communication skills. Ability to influence across teams and drive alignment on data standards and architecture decisions. Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field, or equivalent work experience.

Nice to Have Skills & Experience

Deep experience with Azure data services, including Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage; experience with Microsoft Fabric is strongly preferred. Experience with Azure DevOps and Microsoft SQL Server preferred. Exposure to machine learning, AI-enabled systems, or advanced analytics preferred. Experience with Azure Databricks, Delta Lake, or Spark-based processing is a plus.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.