Description
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 tr

📌 Lead Data Engineer (Argentina)
🏢 OZ Digital
📍 Argentina