Description
Job Summary:
We are seeking a Data Architect with strong production experience in Databricks to work on a strategic project focused on data architecture, scalability, performance, and governance within an Azure environment, serving as both a technical reference and hands-on contributor.
Key Highlights:
1. Strategic and hands-on engagement with Databricks and Azure
2. Focus on data architecture, scalability, performance, and governance
3. Technical reference for the team and client
We are looking for a Data Architect with strong production experience in Databricks to work on a strategic project focused on data architecture, scalability, performance, and governance within an Azure environment.
We seek a candidate with a more strategic mindset, yet also hands\-on, capable of acting as a technical reference for both the client and the team.
Responsibilities
Define and evolve the data architecture in Databricks
Design and implement scalable and high-performance data pipelines
Ensure engineering best practices, governance, security, and observability
Optimize pipelines, clusters, and cloud costs
Support production troubleshooting and guide technical improvements
Serve as a technical reference for the team and the client
**Requirements:**
**Solid production experience with Databricks:** Workflows, Unity Catalog, Delta Lake, and Asset Bundles
Advanced proficiency in PySpark and Spark
Experience with Medallion architecture and dimensional modeling
Strong expertise in pipeline optimization, performance tuning, and data volume management
Experience with Databricks clusters and cost vs. performance tuning
**Azure experience:** Key Vault, ADLS Gen2, Service Principals, and permissions
Experience with CI/CD for data, versioning, and deployment
Knowledge of Data Quality, Data Contracts, logging, and observability
Experience with secure integrations and multiple data sources
Production troubleshooting capability
Advanced SQL
**Nice-to-have:**
Experience with FinOps
Knowledge of security and governance in Unity Catalog
Experience with data engineering frameworks and automated testing
Databricks and/or Azure certifications