BENGALURU · FULLTIME
Azure Data Architect | Bangalore | 11+ Yrs
IE
Innova ESI Private Limited
Bengaluru · onsite · Posted 9d ago
Sourced from
Not disclosed11–17 yrsfulltimeBengaluru
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
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
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
Azure Synapse AnalyticsCI CD and DevOps for data platformsData Pipeline Design and OptimizationPerformance Tuning and ScalabilityApache SparkDeltaMetadata ManagementDimensional Modelingdata warehouse architectureMaster Data ManagementData Lakehouse ArchitectureAzure Data PlatformAzure Data Lake Storage ADLS Gen2enterprise data modelingPysparkInfrastructure as code conceptsAzure DatabricksETL/ELT architectureAzure Data Factory ADFdata governance and data quality frameworksAzure SQL SQL Server