About the role
We are looking for a Staff Data Engineer to own and scale the core data platform powering its AI-driven consumer marketing products. You’ll design scalable, multi-tenant data systems, evolve data models and pipelines, and build infrastructure that enables both traditional applications and AI agents to access trusted data.
Responsibilities
- Design and scale multi-tenant data pipelines and transformation systems.
- Own data models, schemas, contracts, and data quality across the platform.
- Build reliable ingestion, orchestration, monitoring, and data-access systems.
- Work with large-scale consumer datasets across multiple sources.
- Develop infrastructure for AI-agent access, including MCP, vector search, and retrieval systems.
- Drive architecture decisions and mentor engineers across the data platform.
Requirements
- 5+ years of data/software engineering experience in data-heavy environments.
- Expert Python and SQL skills.
- Strong experience with dbt, SQLMesh, Airflow, or similar tools.
- Deep knowledge of Snowflake, BigQuery, Redshift, or similar data warehouses.
- Experience with multi-tenant architecture, data modeling, schema evolution, and production data platforms.
- Strong ownership and ability to lead ambiguous, cross-functional technical initiatives.
- Experience with AI/LLM data infrastructure is a plus.
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