Sr Lead Architect

Birlasoft; Pune District; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

Birlasoft is seeking a highly experienced Data Architect (Grade 7A) to lead the design and delivery of an enterprise Data & Insights platform on Microsoft Azure. The ideal candidate will have deep expertise in cloud data architecture and strong hands‑on skills in Python and data services.

Responsibilities include architecting Azure-based platforms, implementing data governance, and mentoring engineering teams. A Bachelor’s or Master’s degree and substantial experience in cloud data architecture is required.

Qualifications

• 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.
• Strong hands‑on skills in Python, LangChain, and Azure data services.

Responsibilities

• Architect and design Azure-based data lake/lakehouse platforms.
• Implement data governance with Microsoft Purview for cataloging and policy enforcement.
• Lead solution architecture reviews and performance tuning.

Skills

Azure Data Platform

Python

Data Governance

GenAI & Agentic AI

SDLC & DevOps

Education

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

Tools

Microsoft Azure

Terraform/Bicep

Job description

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

Technical Skills – 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.