- 12+ years of overall IT experience
- 5+ years of experience in Data Architecture / Solution Architecture roles
- Strong hands-on background in Data Engineering and Data Platform implementation
Mandatory Technical Skills
Azure Data Platform
- Azure Data Lake Storage (ADLS Gen2)
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics (preferred)
- Azure SQL / SQL Server
Data Engineering &
- Big Data
- Strong hands-on experience with Spark / PySpark
- ETL / ELT architecture and implementation
- Data Lakehouse Architecture
- Delta Lake
- Data Pipeline Design and Optimization
- Performance Tuning and Scalability
Data Architecture
- Enterprise Data Modeling
- Dimensional Modeling (Star/Snowflake)
- Data Warehouse Architecture
- Metadata Management
- Data Governance and Data Quality Frameworks
- Master Data Management concepts
Deployment &
- Data Products
- Experience designing and deploying enterprise data products
- Understanding of data product lifecycle and operationalization
- CI/CD and DevOps for data platforms
- Infrastructure-as-Code concepts
Good to Have
- Experience with Azure AI Services
- Generative AI use cases on Azure
- Azure OpenAI
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- AI-powered data and analytics solutions
- Microsoft Fabric exposure
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.
- Azure Certifications such as:
- Azure Solutions Architect Expert
- Azure Data Engineer Associate
- Azure AI Engineer Associate (preferred)
Preferred Profile: Candidate should come from a robust hands-on Data Engineering background and have progressed into Architecture roles, with extensive experience in Azure Data Platforms, Spark-based processing, enterprise data modeling, and data product deployments. Azure AI/GenAI experience would be an added advantage.
📌 Azure Data Architect (Bengaluru)
🏢 Innova ESI
📍 Bengaluru
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