Key Responsibilities 

<ul>
<li>Design end-to-end enterprise data and AI architectures on Microsoft Azure</li>
</ul>

<ul>
<li>Define solution architecture for data ingestion, processing, analytics, and GenAI use cases</li>
</ul>

<ul>
<li>Architect lakehouse and data platform solutions using ADLS Gen2, Databricks, Synapse</li>
</ul>

<ul>
<li>Design scalable ETL/ELT and streaming architectures using Azure Data Factory, Event Hubs, Kafka, Spark</li>
</ul>

<ul>
<li>Define GenAI and LLM architectures, including RAG-based solutions</li>
</ul>

<ul>
<li>Select and integrate vector databases (Azure AI Search, Pinecone, Milvus, FAISS)</li>
</ul>

<ul>
<li>Architect secure integration with GenAI frameworks and APIs (Azure OpenAI, LangChain, Hugging Face)</li>
</ul>

<ul>
<li>Establish data modeling, data quality, and governance standards</li>
</ul>

<ul>
<li>Define cloud security architecture using Azure AD, RBAC, Key Vault, Private Endpoints, and Purview</li>
</ul>

<ul>
<li>Design high-availability, scalable, and cost-optimized cloud solutions</li>
</ul>

<ul>
<li>Define CI/CD and DevOps architecture for data and AI pipelines</li>
</ul>

<ul>
<li>Provide architecture blueprints, reference designs, and best practices</li>
</ul>

<ul>
<li>Guide teams on technology selection and design trade-offs</li>
</ul>

<ul>
<li>Review and approve solution designs and technical implementations</li>
</ul>

<ul>
<li>Partner with business, product, and engineering teams to translate requirements into architecture</li>
</ul>

<ul>
<li>Support pre-sales, estimations, and technical proposals</li>
</ul>

<ul>
<li>Ensure solutions align with enterprise architecture, security, and compliance standards</li>
</ul>

<ul>
<li>Drive architecture governance and design reviews</li>
</ul>

Required Skills

<ul>
<li>Languages: Python, SQL, PySpark</li>
</ul>

<ul>
<li>Cloud Platform: Microsoft Azure, AWS</li>
</ul>

<ul>
<li>Data &amp; Analytics: Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2</li>
</ul>

<ul>
<li>Streaming &amp; GenAI: Azure Event Hubs, Kafka, Azure OpenAI, Azure AI Search, Vector DBs (Pinecone, Milvus, FAISS)</li>
</ul>

<ul>
<li>DevOps &amp; Platform: Docker, AKS (Kubernetes), Azure DevOps / GitHub Actions, Terraform / ARM / Bicep</li>
</ul>

Preferred Skills

<ul>
<li>Experience with GenAI / LLM architectures, including RAG, embeddings, and vector databases.</li>
</ul>

<ul>
<li>Exposure to MLOps / LLMOps, data governance, security, and compliance practices.</li>
</ul>

<ul>
<li>Strong skills in performance tuning, cost optimization, and technical stakeholder communication.</li>
</ul>

Solution Architect

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 &amp; Analytics: Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2 Streaming &amp; GenAI: Azure Event Hubs, Kafka, Azure OpenAI, Azure AI Search, Vector DBs (Pinecone, Milvus, FAISS) DevOps &amp; 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.

Solution Architect in Hyderabad

Job highlights

Skillset required

Job Description

Job Description for Solution Architect

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