Principal Data Engineer
Skills
DevopsAmazon Web ServicesAnalyticsBusiness Continuity PlanningDownstream Oil And GasEasily AdaptableEvolution
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years in data or analytics engineering with ownership of complex business-critical systems end to end
- Hands-on experience with AWS and the modern data stack including Snowflake dbt Dagster Databricks and Terraform
- Track record of leading platform migrations deprecations or upgrades across shared systems
- Ability to design secure reusable patterns for data ingestion access control and platform automation
- Comfort partnering with Infrastructure Security and Governance stakeholders
- Experience with DevOps practices CI/CD for data data governance or FinOps
- Ability to break down ambiguous cross-functional problems and lead implementation from design to deployment
- Clear communication across engineers analysts product managers and business leaders
- Drive to mentor others set standards and improve systems
Nice to have
- Challenging status quo
- Systems thinking
- Strong communication
- Resilience
- Scale mindset
- Mentorship focus
- Quality oriented
Day to day
- Architect and evolve the data platform that powers critical product and business decisions.
- Lead platform modernization by deprecating legacy workflows and migrating pipelines to scalable patterns.
- Drive cross-functional data initiatives across Snowflake Dagster and dbt while improving cost governance and maintainability.
- Design reusable data products and engineering patterns that support analysts data scientists and product teams.