Staff Data Engineer
Core
Leading the Data Engineering chapter to ensure quality, reliability, and scalability of the data infrastructure supporting company products and analytics.
Role type
Staff Data Engineer
Builds
Scalable data pipelines, data architecture, and governance frameworks
Domain
Technology / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, GCP (BigQuery, Cloud Functions, Cloud Storage), pipeline orchestration (Airflow, Prefect, Dagster), data transformation (dbt), API integration, Git, CI/CD, observability
Preferred skills
Machine learning, analytics
Responsibilities
Lead the data engineering chapter promoting best practices and technical standards; Design and evolve the company's data architecture focusing on modularity, traceability, and performance; Design, develop, and maintain robust and auditable data pipelines; Support product, operations, and ML squads in efficient data stack usage; Ensure data quality, versioning, and governance; Mentor junior engineers; Participate in strategic data and infrastructure decisions; Identify bottlenecks and optimization opportunities in the data platform.