Data Solution Architect - Azure
Tata Consultancy Services
2 - 5 years
Mumbai
Posted: 15/04/2026
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Job Description
Experience : 8-15 yrs, Location : PAN India
Key Responsibilities :
Azure Data Architecture & Solutioning
- Design, architect, and deliver end-to-end Azure data platform solutions including ingestion, transformation, storage, analytics, and visualization.
- Lead solution architecture for enterprise-scale data platforms, including transactional systems, Data Warehouses, and Data Lakes.
- Define data architecture patterns, best practices, and reference architectures on Azure.
- Translate business requirements into technical architecture designs and scalable data solutions.
Azure Data Technologies
- Architect and work with:
- Azure Synapse Analytics
- Azure SQL Database / SQL Managed Instance
- Azure Data Factory
- Azure Data Lake Storage Gen2
- Cosmos DB
- Azure Databricks
- Azure Analysis Services / Power BI
- Strong knowledge of Data Warehousing concepts, dimensional modeling, and performance optimization.
- Design and implement ETL/ELT frameworks and data integration pipelines.
AI & ML Solutions (Secondary Skill)
- Architect AI & ML solutions using:
- Azure Machine Learning
- Azure Cognitive Services
- Azure OpenAI (preferred)
- Define ML lifecycle architecture including data preparation, model training, deployment, and monitoring.
- Work with data science teams to operationalize models (MLOps) on Azure.
- Integrate AI/ML services into enterprise data platforms and applications.
Cloud Delivery & Deployment
- Lead deployment strategies using CI/CD pipelines and infrastructure-as-code (ARM/Bicep/Terraform).
- Ensure solutions align with security, compliance, and governance standards.
- Optimize solutions for performance, scalability, cost, and reliability.
- Guide teams through production deployments, migration, and modernization initiatives.
Estimation & Stakeholder Engagement
- Own effort estimation, solution sizing, and cost modeling for Azure data solutions.
- Participate in pre-sales, RFPs, proposals, and technical presentations.
- Collaborate with business stakeholders, product owners, and engineering teams.
- Provide technical leadership and mentoring to development teams.
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