Lead Data Engineer

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.

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 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 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