Data Engineering Manager

. Own LILT's data transformation layer, including the dbt layer and warehouse .

Posted 10/7/2026full-timeUnited StatesSeniorLead💰 $170,000 - $205,000 per yearWebsite

Tools & technologies

BigQueryPythonSQL

Key responsibilities & impact

Own LILT's data transformation layer, including the dbt layer and warehouse
Implement metric definitions once in dbt and keep them consistent across Analytics, LLM/MCP surfaces, internal dashboards, Business Operations, Production, Finance, and Product
Run the transformation layer and warehouse, ensuring every pipeline has an owner, tests, and a known cost
Measure and reduce warehouse spend
Set warehouse strategy, ClickHouse's role, and how the data layer is exposed via API and MCP
Build and lead a new Data sub-team in Platform Engineering
Hire and grow a Data Engineer and a Senior Data Scientist
Set the team charter and manage delivery, quality, and on-call health
Define AI-agent practices for building, testing, and reviewing pipelines and models
Read, review, and write the team's SQL, dbt, and Python
Report to the head of Platform

What you’ll need

7+ years in data/analytics engineering
2+ years managing a small team of 2–5
Track record of hiring and developing individual contributors
Fluent in SQL and Python
Experience building and running production pipelines
Experience with dbt or equivalent transformation layer
Familiarity with BigQuery, ClickHouse, Snowflake, or similar
Experience owning a warehouse or pipeline budget and reducing costs with measurable results
Ability to translate business needs into a technical plan and sequence a backlog against limited headcount
Experience owning data accountability for finance, operations, and go-to-market stakeholders
Understanding of B2B SaaS metrics including ARR, ACV, gross margin, and on-time delivery
Daily use of AI tools and ability to identify where they help, mislead, and need verification
Ability to document decisions and communicate tradeoffs, risk, and cost to leadership

Comp & perks