Role: Data & AI Architect – Azure, Microsoft Fabric, Databricks

Exp: 12+ Years

Location: BLR (Client Location)

Mandatory: Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory), Azure Databricks (Spark, Delta Lake, Unity Catalog), Azure Data Factory, Azure Data Lake, Synapse, Power BI, Data Governance (Purview, Unity Catalog, RBAC), AI/ML/GenAI Architecture (RAG, LLM, Embeddings, Vector Search)

Key Responsibilities:

- Design end-to-end enterprise data architectures (Fabric, Databricks, ADF, Data Lake, Synapse)
- Translate business requirements into scalable, secure data architecture & solution designs
- Define architecture patterns for ingestion, transformation, storage, processing, serving, analytics, reporting
- Design Lakehouse, Data Warehouse, Medallion Architecture solutions
- Design AI/ML-ready data architectures (ML, GenAI, RAG, embeddings, vector search)
- Integrate AI agents with APIs, databases, cloud services (AWS/Azure), enterprise apps
- Define Fabric architecture (OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI)
- Design Databricks/Delta Lake architectures (Spark, Structured Streaming, Unity Catalog)
- Define Bronze/Silver/Gold data-layer strategies
- Design ETL/ELT patterns (ADF, Fabric Data Factory, Databricks)
- Define data models (conceptual, logical, physical), dimensional models,



star schemas
- Define data governance & security (Purview, Unity Catalog, RBAC, lineage, auditing)
- Optimize performance, scalability, cost (Databricks/Spark, Delta Lake, Fabric, SQL, Power BI)
- Design cloud solutions (Azure primary, AWS/GCP knowledge)
- Participate in RFPs, sales proposals, technical estimates

Requirements:

- 12+ years in Data Architecture (Azure, Fabric, Databricks, ADF, Data Lake, Synapse, Power BI)
- Strong Fabric & Databricks architecture (OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI, Spark, Delta Lake, Unity Catalog)
- Medallion Architecture, Bronze/Silver/Gold data layers
- ETL/ELT, CDC, SCD Type 1/2, incremental loads, reconciliation
- Data modeling (conceptual/logical/physical, dimensional, star schemas)
- Data governance & security (Purview, Unity Catalog, RBAC, masking, encryption, lineage)
- Performance & cost optimization (Databricks/Spark, Delta Lake, Fabric, SQL, Power BI)
- Cloud architecture (Azure primary, AWS/GCP knowledge)
- AI/GenAI architecture (RAG, LLM, embeddings, vector search, AI agents)
- Robust technical leadership, stakeholder management, architecture documentation
- CI/CD, DevOps, IaC, monitoring, deployment strategies knowledge

📌 Data & AI Architect – Azure, Microsoft Fabric, Databricks (Bengaluru)
🏢 teknikoz
📍 Bengaluru