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Platform Architect​/Platform Lead – Azure Databricks

Job in Abu Dhabi, UAE/Dubai
Listing for: Epergne Solutions
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Platform Architect / Platform Lead – Azure Databricks

Job Location
:
Abu Dhabi, UAE

Experience
: 7+ Years

Job Role

Job Role
:
Platform Architect / Platform Lead ? Azure Databricks

Role Summary

Own the end-to-end architecture, governance, security, and evolution of an enterprise-scale Azure Databricks Data Intelligence Platform, ensuring scalability, performance, cost optimization, and AI enablement.

Key Responsibilities
  • Define end-to-end Lakehouse architecture covering ingestion, storage, processing, orchestration, analytics, and AI
  • Design and govern Unity Catalog (catalogs, schemas, access control, lineage, auditing)
  • Establish standards for declarative pipelines, workflows orchestration, and runtime governance
  • Define governance framework for ML, Feature Store, AI capabilities, and analytics workloads
  • Own Azure integrations including identity, networking, key management, and secure data access
  • Implement compute, cluster, and cost governance (policies, sizing, concurrency, spend control)
  • Review and approve architecture designs for security, scalability, and cost efficiency
  • Oversee CI/CD governance and platform change management
  • Lead performance optimization for Spark, streaming, and AI workloads
  • Drive controlled adoption of new platform features and best practices
  • Communicate architectural strategy to technical and business stakeholders
Required Skills & Experience
  • Strong expertise in Azure Databricks, Spark, PySpark, and Lakehouse architecture
  • Deep knowledge of Unity Catalog, Delta Lake, and platform governance frameworks
  • Experience with orchestration, declarative pipelines, and workload optimization
  • Hands-on exposure to ML lifecycle management and AI platform integration
  • Strong understanding of Azure identity, networking, and security architecture
  • Experience implementing cost governance and performance tuning strategies
  • CI/CD governance and Dev Ops best practices experience
  • Proven ability to design scalable, secure, enterprise-grade data platforms
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