At OZ we are looking for a Lead Data Engineer who will:
- Serve as the technical lead for the project - owning solution design decisions, guiding implementation standards, and mentoring other engineers through coaching, reviews, and knowledge sharing
- Design, develop, and maintain complex ETL pipelines using Databricks, ensuring scalable, high-performance data integration across multiple source systems
- Implement and optimize medallion architecture within Databricks, establishing clear data zones (raw, curated, trusted) to support governed, enterprise-wide reporting
- Develop and refine dimensional data models that enable unified, analytics-ready views of business domains and support automated dashboarding and KPI frameworks
- Collaborate closely with cross-functional teams (data stewards, IT, business stakeholders) to translate operational requirements into technical solutions, proactively clarifying dependencies and driving alignment
- Contribute to architectural decisions, leveraging your expertise to recommend best practices, challenge assumptions,
and ensure data platform durability and flexibility
- Identify and address integration challenges, data quality issues, and process bottlenecks early, providing actionable insights and thoughtfully pushing back when project risks or inefficiencies arise
- Support knowledge transfer and documentation, empowering colleagues and clients to maintain and evolve data solutions independently
Requirements
- Databricks Expertise: 3-5 years of hands-on experience developing in Databricks, with relevant certifications (attach proof). Proven ability to build, optimize, and troubleshoot production-grade ETL pipelines
- Medallion Architecture: Demonstrated experience designing and implementing medallion data models (raw, curated, trusted zones) in Databricks environments
- Dimensional Modeling: Strong skills in developing dimensional models to support business intelligence, reporting, and single source of truth requirements
- Co
📌 Lead Data Engineer (Argentina)
🏢 Oz
📍 Argentina