Lead Data Engineer, Data Platform
Core
Building and orchestrating a trusted data foundation for a multi-agent AI platform to enable product, growth, and leadership decisions.
Role type
Lead Data Engineer (Data Platform)
Builds
Data pipelines, warehouse/lake infrastructure, semantic models, and self-serve dashboards for a SaaS AI company.
Domain
AI/ML platform, SaaS, Data Engineering, Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, warehouse operations, transformation tools, event pipelines, Python, product sense, documentation
Preferred skills
LLM/agent analytics, OpenTelemetry, experimentation, causal analysis, Rails/Postgres, lightweight ML
Technologies
Redshift, Snowflake, BigQuery, Postgres, dbt, Cube, Metabase, Looker, Mode, OpenTelemetry
Responsibilities
Own and evolve the data platform across ingestion, transformation, storage, semantic modeling, BI, and data quality; Rationalize the existing data estate including telemetry, traces, and application tables; Establish trusted source-of-truth metrics for business and product; Build and maintain models, pipelines, and metric layers for consistency; Partner with product and engineering to improve instrumentation and telemetry coverage; Make data self-serve through clear dashboards and documented datasets; Improve reliability and trust via data quality checks, lineage, and alerting; Partner with go-to-market teams on analysis for roadmap decisions; Define internal data usage strategies as the company scales.
