Principal, Data Operations
Core
Builds and operates systems moving business and operational data from source systems into reliable, secure, analytics-ready data products.
Role type
Principal, hands-on IC Data Operations Engineer
Builds
Production data pipelines, ingestion services, and analytics-ready data products
Domain
Cloud Data Engineering & Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, Airflow, Google Cloud Composer, BigQuery, Snowflake, Google Cloud Storage, CI/CD, Linux/Bash, API/SFTP integration, data quality monitoring
Preferred skills
dbt, data modeling, semantic layers, Cloud Run, Docker, Grafana, data governance
Technologies
Airflow, Google Cloud Composer, BigQuery, Snowflake, Google Cloud Storage, Cloud Run, Artifact Registry, Cloud SQL, PostgreSQL, dbt, GitHub, Docker, Grafana, Tableau, Metabase
Responsibilities
Translate requirements into data pipelines; build/maintain ingestion from APIs, SFTP, files, databases; develop Airflow/Composer workflows; model/deliver data across warehouses; support cloud infrastructure; design pipelines for idempotency and recovery; improve observability; own production support and incident resolution; apply security controls and data governance.
Seniority
Principal, hands-on IC with technical leadership
