Back to SearchChief Data Engineer
Remote in Colombia, Mexico
Data Software Engineering& 7 others
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We are looking for a chief-level Chief Data Engineer to own end-to-end data modeling and pipeline delivery for a multi-phase enterprise data lake re-architecture on a modern AWS stack. You will partner closely with stakeholders across time zones and drive outcomes with high autonomy. Apply now.
Responsibilities
- Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
- Own end-to-end pipeline delivery from requirements discovery through deployment and hypercare
- Design ETL/ELT workflows that evolve traditional warehousing practices into a modern lakehouse approach
- Build and maintain transformations in dbt with reliable tests, documentation, and lineage practices
- Develop data pipelines in Databricks with performance, scalability, and maintainability in mind
- Partner with US-based stakeholders to elicit requirements, clarify definitions, and anticipate future needs
- Coordinate delivery across an engineering team with time-zone overlap and ensure clear handoffs
- Validate data quality through SQL-based checks, unit tests, and UAT support
- Document models, pipelines, and decisions to enable alignment and long-term maintainability
- Provide basic dashboarding support to validate outputs and confirm business usability
Requirements
- 7+ years of data engineering experience with modern data warehousing and lakehouse patterns
- 7+ years of hands-on SQL experience for analytics engineering and data validation
- Experience with ETL/ELT solutions across batch and incremental processing
- Experience with Databricks in production environments
- Experience with dbt for transformations, testing, and documentation
- Senior stakeholder management experience working with non-technical partners
- End-to-end delivery ownership from requirements through deployment and support
- Strong dimensional modeling skills using star schema and Kimball methodology
- Strong documentation skills using collaboration tools (e.g., Confluence)
- Excellent communication skills for clear written updates and executive-ready narratives
- Upper-Intermediate English proficiency (B2, Upper-Intermediate)
Nice to have
- Apache Spark experience for large-scale distributed processing
- Experience with Tableau or Power BI for light visualization and validation
- HR domain exposure and ability to ramp quickly on HR data concepts
- Background with legacy BI/ETL tools such as Informatica, Cognos, or Business Objects
- Experience with traditional RDBMS platforms such as Oracle