Sr Lead Architect

Area(s) of responsibility 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 strong hands-on skills in Python , LangChain , LangGraph , Azure data services, and end-to-end SDLC execution.

Roles & Responsibilities

Architect and design Azure-based data lake/lakehouse platforms , domain data models, and ingestion-to-consumption pipelines.

Develop conceptual, logical, and physical cloud data models aligned with enterprise standards.

Architect RAG pipelines including embeddings, chunking, vector stores, hybrid retrieval, reranking, and evaluation.

Build Agentic AI workflows using LangChain and LangGraph; design tool orchestration, memory, and safety layers.

Implement governance with Microsoft Purview for cataloging, lineage, PII tagging, and policy enforcement.

Ensure platform security using Entra ID, private endpoints, VNETs, Key Vault, and encryption controls.

Lead solution architecture reviews, performance tuning, cost optimization, and NFR engineering.

Oversee CI/CD (Azure DevOps), IaC (Terraform/Bicep), and observability (Azure Monitor, App Insights).

Mentor engineering teams and standardize best practices, patterns, and reusable components.

Technical Skills

Mandatory

Azure Data Platform : ADLS Gen2, Synapse/Serverless SQL, Databricks/Spark, ADF/Synapse Pipelines

Programming : Python, PySpark, SQL

GenAI & Agentic AI : RAG architecture, vector stores (Azure Cognitive Search, Pinecone, Weaviate, Qdrant), embeddings, reranking

Frameworks : LangChain, LangGraph

Data Modeling : Conceptual/logical/physical models, Delta/Parquet patterns, lakehouse modeling

Data Governance : Microsoft Purview (catalog, lineage, classification, glossary, PII governance)

Security : Entra ID, RBAC/ABAC, Key Vault, VNET integration, encryption

SDLC & DevOps : Azure DevOps (CI/CD), Terraform/Bicep, ADRs, HLD/LLD documentation

Performance & Cost Optimization across compute, storage, vector workloads, and pipelines

Preferred

Azure Fabric / OneLake; Power BI semantic modeling

dbt for transformations and testing

Cosmos DB, PostgreSQL, SQL Server MI

Knowledge graphs (Neo4j) and graph-based retrieval

LLMOps: evaluation, telemetry, safety assessment, drift monitoring

FinOps optimization practices

Multi-cloud experience (AWS/GCP equivalents)

API design: REST, GraphQL, gRPC

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related discipline.

• 12–14 years of total experience with minimum 5+ years in cloud data architecture.

• Proven experience delivering Azure-based data platforms and production-grade GenAI/RAG systems .