***Only qualified Azure Databricks Data Engineer candidates located near Atlanta, GA to be considered due to the position requiring an onsite presence. ***
Required Education:
• Bachelor’s degree in computer science, Information Technology, or related field
Preferred Certifications:
• Databricks and Azure Certifications
Required Skills, Experience, & Abilities:
• Strong hands-on knowledge of Azure Databricks and the Azure platform, with proven experience operating a production Lakehouse at scale
• Proficiency in Databricks SQL, Python, and other relevant programming languages.
• Deep Azure knowledge: ADLS Gen2, Key Vault, Networking (VNet/Private Endpoints), Event Hub
• Deep understanding of advanced data warehouse concepts (dimensional modeling, SCD, surrogate key management) is required
• Experience with data modeling, dimensional modeling, and temporal data structures in an operational ETL environment
• Unity Catalog security & lineage.
• Strong business problem framing and stakeholder communication.
• Experience establishing engineering standards, performing design/code reviews, and mentoring data engineers
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively in a fast-paced environment.
Role:
Responsible for supporting and evolving the Azure Databricks Lakehouse architecture of an established Data Warehouse team – setting design standards, governing the platform, unlocking full Databricks/Databricks AI capabilities, and optimizing solutions for performance, cost, security, and scalability.
Responsibilities:
• You will act as the technical design authority for an existing Databricks ETL team, working alongside customer business, development, Databricks, and DevOps teams.
• You will support and evolve the production Lakehouse architecture: Delta medallion layers, Databricks SQL Warehouses, Unity Catalog security, and data lineage.
• You will define and enforce design standards, reusable patterns, and best practices across the existing pipeline estate and all new development
• You will design new ingestion, streaming, and batch pipelines and review team designs against the medallion (bronze/silver/gold) architecture.
• You will drive continuous optimization of the running platform: cluster sizing, autoscaling, Photon usage (if decided), query performance, Delta Liquid Clustering/Z-Ordering, VACUUM strategies, and DBU cost governance
• You will translate business questions into analytical models, KPIs, and reusable semantic layers.
• You will mature CI/CD (Azure DevOps/GitHub), observability, and security (RBAC, row/column-level policies) across existing pipelines.
• You will evaluate and drive adoption of new Databricks capabilities (Lakeflow, Delta Live Tables, serverless compute, AI/BI) where they add value.
• You will conduct architectural reviews, code audits, and mentoring sessions to raise the team’s engineering bar and ensure adherence to standards and scalability.
• You will guide the team in version control, automated testing, and release discipline for Databricks notebooks, jobs, and workflows.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
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