Job Role
:-Platform Architect / Platform Lead ? Azure Databricks
Job Location
:- Abu Dhabi, UAE
Experience
:-7+ Years
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
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Define end-to-end Lakehouse architecture covering ingestion, storage, processing, orchestration, analytics, and AI
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Design and govern Unity Catalog (catalogs, schemas, access control, lineage, auditing)
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Establish standards for declarative pipelines, workflows orchestration, and runtime governance
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Define governance framework for ML, Feature Store, AI capabilities, and analytics workloads
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Own Azure integrations including identity, networking, key management, and secure data access
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Implement compute, cluster, and cost governance (policies, sizing, concurrency, spend control)
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Review and approve architecture designs for security, scalability, and cost efficiency
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Oversee CI/CD governance and platform change management
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Lead performance optimization for Spark, streaming, and AI workloads
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Drive controlled adoption of new platform features and best practices
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Communicate architectural strategy to technical and business stakeholders
Required Skills & Experience
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Strong expertise in Azure Databricks, Spark, PySpark, and Lakehouse architecture
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Deep knowledge of Unity Catalog, Delta Lake, and platform governance frameworks
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Experience with orchestration, declarative pipelines, and workload optimization
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Hands-on exposure to ML lifecycle management and AI platform integration
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Strong understanding of Azure identity, networking, and security architecture
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Experience implementing cost governance and performance tuning strategies
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CI/CD governance and DevOps best practices experience
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Proven ability to design scalable, secure, enterprise-grade data platforms