Senior Data Platform Engineer
Core
Build, run, and maintain end-to-end data pipelines for complex real-world datasets (people, employment, financial) to create reliable, well-modeled data for clients.
Role type
Senior hands-on data platform engineer
Builds
Production data pipelines, modeled analysis-ready tables, and resilient data platforms
Domain
Technology & Data / Marketing Technology
Deliverable
production ML models
Required skills
SQL, Python, Databricks, Snowflake, AWS (S3, Glue, Step Functions, Lambdas), Airflow, Databricks Workflows, Terraform, data modeling, data governance, CI/CD for data workflows
Preferred skills
Streaming technologies (Kafka), document-store technologies (MongoDB)
Technologies
Databricks, Snowflake, AWS, Airflow, Terraform, dbt, Kafka, MongoDB
Responsibilities
Build and maintain data pipelines from ingestion to transformation; design data models and orchestration patterns; own platform operations (monitoring, alerting, incident response); contribute to CI/CD for data platform; solve scaling challenges (partitioning, compute right-sizing, concurrency)
Seniority
Senior, hands-on IC