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Remote in Colombia, Mexico
Data Software Engineering& 7 others
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We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.
Responsibilities
- Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
- Own end-to-end delivery of data pipelines from requirements through deployment
- Gather business requirements directly from stakeholders and translate them into data products
- Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices
- Define and execute unit tests and support UAT to ensure data quality and usability
- Document models, pipelines, and decisions clearly to enable shared understanding
- Coordinate with a distributed engineering team to plan work, unblock delivery, and align outputs
- Partner with stakeholders to validate assumptions, manage expectations, and communicate progress
- Troubleshoot data issues and optimize transformations for reliability and maintainability
Requirements
- 5+ years of data engineering experience across modern and traditional stacks
- 5+ years of data warehousing experience with strong ETL/ELT foundations
- 5+ years of dimensional data modeling experience using Kimball and star schema patterns
- Strong leadership skills with high autonomy and ownership in light-touch environments
- Strong stakeholder management skills with frequent interaction with non-technical US partners
- Strong project delivery skills across requirements, build, test, UAT, and deployment
- Advanced SQL skills for analytics-grade transformations and validation
- Hands-on Databricks skills for building and operating data pipelines
- Hands-on dbt skills for modular transformations, testing, and documentation
- Strong communication skills with clear written and verbal updates and documentation habits
- Strong requirements gathering skills with ability to anticipate future business needs
- English proficiency: B2 Upper-Intermediate
Nice to have
- Apache Spark experience for large-scale data processing
- Experience with Tableau or Power BI for basic dashboarding and validation
- HR domain exposure and ability to ramp up quickly on domain concepts
- Background with legacy BI/ETL tools such as Informatica, Cognos, or Business Objects
- Experience with traditional RDBMS platforms such as Oracle