Lead Data Engineer - Databricks

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.
• Complex ETL Development: Advanced proficiency in orchestrating data ingestion, transformation, and integration workflows across multiple systems and formats.
• Business Acumen: Ability to understand operational requirements, translate them into technical deliverables, and communicate the business impact of engineering decisions.
• Self-Starter: Demonstrated capacity to take initiative, work independently, and drive projects forward in ambiguous or evolving contexts.
• Azure Ecosystem (Preferred): Experience with Azure Data Lake, Data Factory, and related services is a strong advantage but not required.
• Data Visualization Design (Preferred): Experience with human centric design principles with data visualization tools such as Power BI, Qlik, or Tableau.
• Clear Communication: Proactive, constructive communication skills with the confidence to provide feedback, challenge assumptions, and advocate for best practices.
• Embrace Digital’s values in daily work: adapting and learning, focusing on results, working collaboratively, maintaining a positive outlook, and leading with empathy.
• Actively participate in a culture of mutual support, continuous improvement, and openness to new ideas.
• Demonstrate the ability to provide insights and push back constructively when necessary, always with the goal of achieving the best outcomes for the team and project.

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