Requirements
- 10+ years of data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation.
- Production experience with event-sourced systems.
- Deep Postgres expertise: schema design, indexing, query plan analysis, RLS.
- Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis.
- Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns.
- Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns.
- Strong SQL, strong enough to be the person other engineers go to.
Nice to Have
- Drizzle, Prisma, or another modern TypeScript ORM at production depth.
- Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes.
- Background in feature stores, ML pipelines, or model evaluation infrastructure.
- Semantic layer experience: dbt, Cube, or Malloy.
- Compliance experience: SOC 2, HIPAA, GDPR, data residency.
- Open-source work or public writing on data architecture.
Benefits
- net-zero cost medical option
- company contributions to your HSA
- fertility support
- fully-paid parental leave
- a monthly stipend for your lifestyle spending account
Work Arrangement
Hybrid
Additional Information
- Applicants must be currently authorized to work in the United States on a full-time basis.
