Staff Data Engineer (Tech Lead)

Join our team as a Staff Data Engineer (Tech Lead) and play a critical role in designing, scaling, and governing our modern, cloud-based data platform. You will lead the data engineering team, drive high-impact initiatives, and represent data in engineering leadership forums. Your expertise in data ingestion, architecture, schema design, and governance will shape how data flows across our systems and is leveraged by teams company-wide.

• Act as the overall technical leader for the data engineering team, owning architecture direction, setting standards, and making design decisions.
• Lead high-impact, cross-functional initiatives end to end, scoping the problem, sequencing the work, and driving it to delivery.
• Drive organization-wide technical alignment, representing data in staff engineering leadership forums and partnering with engineering leaders across the company.

• Experience building or owning machine learning deployment infrastructure — feature pipelines, model serving, and production monitoring — in partnership with data science teams
• Bachelor’s or Master’s degree in Computer Science (or related technical field)
• Proven expertise in data ingestion frameworks (batch and streaming)
• Hands-on experience with AI-assisted and agentic engineering, with a clear point of view on where agents create leverage in data work and where they don’t
• Experience with orchestration tools (Airflow, Dagster, Prefect) and metadata/catalog platforms (dbt, DataHub, Amundsen, or similar)
• Strong command of SQL and Python, with ability to design performant, reusable components
• Excellent communication and leadership skills, with a track record of mentoring engineers and influencing cross-functional stakeholders and senior leaders
• Deep experience with cloud-native data platforms (Snowflake, BigQuery, Databricks, or Redshift)
• 8+ years of data engineering experience, with at least 3+ years in senior or staff-level roles
• Ability to set long-term technical vision while driving execution on near-term deliverables
• Hands-on knowledge of data governance frameworks (quality checks, lineage, cataloging, security, compliance)
• Strong understanding of data warehouse methodologies, dimensional and normalized modeling, and distributed system design
• Track record as a tech lead, owning technical direction for a team or major platform area and delivering multi-quarter initiatives with several engineers and cross-functional partners