Location-
- Bangalore, RMZ Bellandur Experience Range--12+ yrs Primary Key skills--Data Architect Hybird mode(Yes/No)--Shift Timings : 01:30 -10:30PM / Monday
- WFH, Tuesday
- Friday (Work from office) PFA JD and kindly check below mentioned skills are mandatory. -Azure Data Tech stack -ADLS -ADF
• Data Modeling Spark -Hands on data engineering
- experience must
• 12+ years
• understanding of data product deployment Good to have
- AI experience using Azure

Job Description
Data / Solution Architect (Azure Data Platform) Role Overview We are seeking an experienced Data / Solution Architect with deep expertise in the Azure Data ecosystem to architect, design, and deliver scalable enterprise-grade data platforms and data products. The ideal candidate should possess a strong data engineering background, hands-on experience with Azure data technologies, and the ability to define end-to-end data architecture aligned with business objectives. This role requires a strategic thinker who can lead architecture discussions while remaining hands-on with contemporary data engineering and cloud-native solutions. Experience
• 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

Key Responsibilities
• Design and implement scalable, secure, and high-performance Azure-based data platforms.
• Define enterprise data architecture, data integration patterns, and data governance frameworks.
• Architect and deliver modern Data Lake, Lakehouse,



and Data Product solutions.
• Work closely with business stakeholders, product owners, and engineering teams to translate business requirements into scalable technical solutions.
• Develop data models (Conceptual, Logical, and Physical) supporting enterprise analytics and operational use cases.
• Lead architecture reviews, solution planning, and technical decision-making.
• Establish best practices for data ingestion, transformation, storage, security, metadata management, and data quality.
• Provide technical leadership and mentoring to engineering teams.
• Support DevOps, CI/CD, and deployment strategies for data platforms.
• Drive data modernization initiatives and cloud migration programs. 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
• Robust 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) Key Competencies
• Solution Architecture & Design
• Stakeholder Management
• Technical Leadership
• Problem Solving & Analytical Thinking
• Communication & Presentation Skills
• Consulting Mindset Preferred Profile: Candidate should come from a strong 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.

📌 Data Architect – Azure Data Platform (Bengaluru)
🏢 Innova ESI
📍 Bengaluru