Sr Lead Architect

Country/Region: IN

Requisition ID: 36364

Work Model

Position Type

Salary Range

Location: INDIA \- PUNE \- BIRLASOFT OFFICE \- HINJAWADI

• *Title:** **Sr Lead Architect**

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Description

• *Area(s) of responsibility**
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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**.