: Data / Solution Architect (Azure Data Platform)

Location

Bangalore, RMZ Bellandur

Experience Range

12+ yrs

Hybird mode(Yes/No)

Shift Timings : 01:30 -10:30PM / Monday - WFH, Tuesday - Friday (Work from office)

No of interviews

2

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 robust 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 modern 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

- 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

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