Data Engineering Manager

Job Description

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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

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. 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.