Azure Data Architect | Bangalore | 11+ Yrs

Role: Azure Data Architect | Bangalore | 11+ Yrs

Experience: 11 to 17 years

Location: Bangalore

Immediate Joiners Only

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

• 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)

Key Competencies

• Solution Architecture & Design
• Stakeholder Management
• Technical Leadership
• Problem Solving & Analytical Thinking
• Communication & Presentation Skills
• Consulting Mindset