About the Role : We are looking for a highly skilled AWS Data Architect with deep hands-on expertise in data lake development and data engineering. The ideal candidate will combine strong technical capabilities with architectural oversight, ensuring efficient, scalable, and governed AWS data ecosystems. Experience Required : 10 - 14yrs Location : Bangalore / Chennai Key Responsibilities : Design, build, and maintain AWS-based data lake ecosystems using S3, Glue, Athena, covering ingestion, transformation, and curation. Develop PySpark-based ETL pipelines with schema evolution, partitioning strategies, and query optimization for performance and cost-efficiency. Implement and enforce data governance, security, and compliance using Lake Formation, IAM, KMS, and CloudTrail. Integrate data pipelines with downstream services such as Redshift Spectrum, QuickSight, and SageMaker for analytics and ML enablement. Define data architecture frameworks covering data modeling, ingestion design, integration patterns, and analytical enablement. Implement data quality frameworks like Deequ or Great Expectations to ensure reliable and accurate data. Automate deployments and CI / CD pipelines using AWS CDK, Terraform, GitHub Actions, and CodePipeline. Ensure observability, monitoring, and recovery using CloudWatch and other AWS-native tools. Guide engineering teams in best practices, performance optimization, cost management, and governance alignment.
Vice President • Bengaluru, Republic Of India, IN