Description
### **Role in the company**
Lead robust Azure/Databricks solutions, defining architecture, standards, and governance; accelerate teams and guide clients toward measurable business, cost, and security outcomes.
### **Responsibilities**
Design reference architecture (networking, security, data, and operations) and guide its implementation.
Conduct discovery; translate requirements into a prioritized technical backlog.
Define/audit engineering standards (templates, repositories, tests) and governance (data catalog, sensitive data, RLS).
Plan capacity, cost, and reliability.
Diagnose complex issues (skew, shuffle spill, small files) and lead remediation.
Mentor mid-level/junior engineers; foster technical community and internal accelerators.
Collaborate with client business, security, and operations teams.
Support technical proposals, estimations, and evolution roadmaps.
### **Requirements**
DP\-203 or DP\-600 or DP\-700\.
Intermediate to advanced English B1/B2\.
Databricks Data Engineer Associate or Spark Developer.
Advanced Databricks (Delta Lake, Unity Catalog, Jobs/Workflows, performance \& cost tuning).
Governance: domains, contracts, data products, continuous quality, lineage, Purview/Unity Catalog.
CI/CD and IaC; promotion across dev/test/prod; environment segregation.
Technical leadership and executive communication (trade\-offs, risks, TCO/FinOps).
### **Differentiators**
Databricks Data Engineer Professional.
Azure DevOps Essentials.
Azure or Databricks AI Engineer Associate.
Scaled streaming/CDC and real-time lakehouse.
Leading assessments/continuous improvement programs.
Expected experience: 5\+ years; technical/architectural reference.
Azure architecture: Databricks with VNET Injection, Private Endpoints, Key Vault, IAM/RBAC; Event Hubs/Functions/Synapse/SQL.