Solution Architect · Bengaluru

Key Responsibilities

• Design end-to-end enterprise data and AI architectures on Microsoft Azure

• Define solution architecture for data ingestion, processing, analytics, and GenAI use cases

• Architect lakehouse and data platform solutions using ADLS Gen2, Databricks, Synapse

• Design scalable ETL/ELT and streaming architectures using Azure Data Factory, Event Hubs, Kafka, Spark

• Define GenAI and LLM architectures, including RAG-based solutions

• Select and integrate vector databases (Azure AI Search, Pinecone, Milvus, FAISS)

• Architect secure integration with GenAI frameworks and APIs (Azure OpenAI, LangChain, Hugging Face)

• Establish data modeling, data quality, and governance standards

• Define cloud security architecture using Azure AD, RBAC, Key Vault, Private Endpoints, and Purview

• Design high-availability, scalable, and cost-optimized cloud solutions

• Define CI/CD and DevOps architecture for data and AI pipelines

• Provide architecture blueprints, reference designs, and best practices

• Guide teams on technology selection and design trade-offs

• Review and approve solution designs and technical implementations

• Partner with business, product, and engineering teams to translate requirements into architecture

• Support pre-sales, estimations, and technical proposals

• Ensure solutions align with enterprise architecture, security, and compliance standards

• Drive architecture governance and design reviews

Required Skills

• Languages: Python, SQL, PySpark

• Cloud Platform: Microsoft Azure, AWS

• Data & Analytics: Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2

• Streaming & GenAI: Azure Event Hubs, Kafka, Azure OpenAI, Azure AI Search, Vector DBs (Pinecone, Milvus, FAISS)

• DevOps & Platform: Docker, AKS (Kubernetes), Azure DevOps / GitHub Actions, Terraform / ARM / Bicep

Preferred Skills

• Experience with GenAI / LLM architectures, including RAG, embeddings, and vector databases.

• Exposure to MLOps / LLMOps, data governance, security, and compliance practices.

• Strong skills in performance tuning, cost optimization, and technical stakeholder communication.