Role & Responsibilities
Design, develop, and maintain enterprise data architectures on Azure and AWS using cloud-native services.
Build and optimize Data Lakes, Data Warehouses, and contemporary data platforms.
Define and implement Data Governance, metadata management, data lineage, and data quality standards.
Ensure compliance with GDPR, HIPAA, ISO 27001, and enterprise security policies.
Develop scalable ETL/ELT pipelines, real-time data integration, and API-based solutions.
Collaborate with business, security, and platform teams to deliver secure and governed data solutions.
Implement automation using CI/CD and Infrastructure as Code (Terraform/CloudFormation/Azure DevOps).
Prepare architecture documentation, governance models, and technical blueprints.

Preferred Candidate Profile
7+ years of experience in Data Architecture, Data Engineering, or Cloud Data Platforms.




Minimum 5 years of hands-on experience with Microsoft Azure and AWS.
Robust expertise in Azure Synapse, Azure Data Factory, Databricks, AWS Glue, Redshift, S3, and DynamoDB.
Experience in Data Governance, Metadata Management, Data Lineage, and Data Quality.
Robust knowledge of SQL, NoSQL, ETL/ELT, Data Lakes, Data Warehouses, and Lakehouse Architecture.
Understanding of Data Mesh, Event-Driven Architecture, and Serverless technologies.
Knowledge of cloud security, encryption, IAM, and regulatory compliance (GDPR, HIPAA, ISO).
Excellent communication, stakeholder management, and documentation skills.
Azure/AWS Data or Solution Architect certifications are an added advantage.

📌 Data Architect Bengaluru (India)
🏢 Sunovaa Tech
📍 India