OZ Digital LLC
Information Technology and Services
LeadDataEngineer-Databricks
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“Lead Data Engineer - Databricks at OZ Digital LLC. Skills: Databricks, Medallion architecture, Dimensional modeling, ETL pipelines. Serve as technical lead. Own solution design decisions”
What You'll Achieve.
Achieve best outcomes
Industry & Context.
Identify integration challenges; Address data quality issues; Address process bottlenecks; Provide actionable insights; Push back on risks; Push back on inefficiencies
What They're Looking For.
Must Have
3-5 years Databricks experience, Databricks certifications, Build ETL pipelines, Optimize ETL pipelines, Troubleshoot ETL pipelines, Design medallion data models, Implement medallion data models, Develop dimensional models, Orchestrate data ingestion, Transform data workflows, Integrate data workflows, Understand operational requirements, Translate requirements to deliverables, Communicate business impact, Take initiative, Work independently, Drive projects forward, Provide feedback, Challenge assumptions, Advocate for best practices
Nice to Have
Azure Data Lake experience, Azure Data Factory experience, Data visualization design experience, Human centric design principles, Power BI experience, Qlik experience, Tableau experience
What You'll Do.
Serve as technical lead
Own solution design decisions
Guide implementation standards
Mentor other engineers
Develop ETL pipelines
Maintain ETL pipelines
Implement medallion architecture
Optimize medallion architecture
Develop dimensional models
Refine dimensional models
Translate requirements to solutions
Contribute to architectural decisions
Recommend best practices
Challenge assumptions
Ensure data platform durability
Ensure data platform flexibility
Identify integration challenges
Address data quality issues
Address process bottlenecks
Provide actionable insights
Push back on inefficiencies
Support knowledge transfer
Support documentation
How You'll Work.
Team & Collaboration
Cross-functional teams; Data stewards; IT stakeholders; Business stakeholders; Mutual support culture; Continuous improvement culture; Openness to new ideas
Communication Scope
Provide feedback; Challenge assumptions; Advocate for best practices; Clear communication; Constructive communication
Process & Methodology
Drive projects forward
Full Job 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 truth requir
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