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Job Description – Data Architect

Data Architect – Data & Insights

Summary

We are looking for a highly experienced Data Architect (Grade 7A) to lead the design and delivery of the enterprise Data & Insights platform on Microsoft Azure. The role demands deep expertise in cloud data architecture, data models, data lake/lakehouse, vector-store based RAG systems, GenAI, Agentic AI, and governance using Microsoft Purview.

The ideal candidate has solid hands-on skills in Python, LangChain, LangGraph, Azure data services, and end-to-end SDLC execution.

Roles & Responsibilities

Technical Skills

Mandatory

Preferred

Qualifications

Top 5 Screening Points for Recruiter

1. Strong Azure Data Platform Architecture Experience

Look for explicit, hands-on experience with Azure Data Lake Gen2, Synapse/Serverless SQL, Databricks/Spark, and Azure Data Factory/Synapse Pipelines.

Keywords to match: ADLS, Synapse, Databricks, Spark, ADF, Delta Lake, Lakehouse.

2. Proven Expertise in GenAI, RAG & Vector Stores





Candidate must have real project experience building Retrieval-Augmented Generation (RAG) systems with vector databases.

Keywords to match: RAG, vector stores, embeddings, hybrid search, Azure Cognitive Search (vector), Pinecone, Weaviate, Qdrant, LangChain, LangGraph.

3. Solid Data Modeling & Architecture Background

Candidate should demonstrate ability to design conceptual, logical, physical data models, and lakehouse architectures.

Keywords to match: data modeling, dimensional modeling, canonical models, Delta/Parquet, partitioning, Z-order, architecture diagrams.

4. Microsoft Purview & Data Governance Experience

Specific experience implementing cataloging, lineage, PII tagging, and governance frameworks.

Keywords to match: Purview, data governance, lineage, catalog, data quality, PII/PHI classification, access policies.

5. Strong Python, PySpark, SQL + Hands-on Technical Delivery

Look for strong programming skills and endtoend SDLC ownership.

Keywords to

📌 Data Architect (Bengaluru)
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