Engineering Manager, Data Engineering

What you'll do

• Coach and grow data and analytics engineers, manage hiring, and develop distinct technical career paths.
• Lead the BigQuery and Looker migration, while improving reusable data patterns, models, semantic definitions, reliability, and governance.
• Set priorities with stakeholders and build data capabilities for agents and ML in partnership with Applied AI and MLOps.

What they ask for

• 3+ years of engineering management experience, including direct leadership of data engineering and analytics engineering work; deep expertise in one discipline is sufficient if you have successfully led and developed engineers in the other.
• Strong technical judgment across data pipelines, cloud warehouses, SQL and data modeling, transformation frameworks, orchestration, and BI or semantic layers.
• Experience leading a significant data platform or analytics migration, including validation, stakeholder adoption, and operational continuity.
• Experience owning stakeholder discovery and roadmap prioritization without a dedicated product manager.

Nice to have

• Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code.
• Experience building data agents, governed natural-language analytics, AI semantic layers, or data capabilities for production ML systems.

Pay

$175,000-228,000 USD base salary

Tools

BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go

AI focus

Build and operate data agents; provide governed datasets, semantic context, and tools for agents; partner on data access, quality, and interfaces for ML workflows; apply AI-assisted development and automation.