Staff Data Engineer
Core
Build reliable data pipelines and platform capabilities powering customer-facing data movement, analytics products, and machine learning foundations.
Role type
Staff Data Engineer (Platform & Infrastructure)
Builds
Next-generation data ingestion, activation, analytics, and ML data workflows
Domain
SaaS / Marketing Automation / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Scala/Java, Snowflake, Databricks, AWS, Kafka, Pulsar, Spark, Terraform, Docker/Kubernetes, ETL/ELT orchestration, batch/streaming patterns, data modeling, schema evolution, observability, high availability design
Preferred skills
Disaster recovery patterns, idempotency, backfill logic, multi-tenant architecture, platform standardization, cross-team technical leadership
Responsibilities
Own architecture and end-to-end delivery of critical ingestion/activation workflows; define high-availability and fault-tolerance patterns; lead Snowflake-based pipeline design; establish technical standards for data quality and lifecycle; partner with data science on feature generation infrastructure; drive technical tradeoffs across latency, cost, and scalability; provide mentorship and technical leadership to senior/mid-level engineers.
Seniority
Staff, hands-on IC with strategic influence
