Description

You design and build scalable data architecture for analytics platforms on AWS.

This role is hybrid.

Responsibilities

• Design and develop scalable data platforms using AWS data lakes (S3, Lake Formation) and warehouses (Redshift).
• Implement reusable frameworks and ETL/ELT workflows using Lambda, Glue, Kinesis, EMR, and Athena.
• Ensure data quality, security (IAM, KMS), monitoring (CloudWatch), and cost optimization.
• Design data architecture including Medallion patterns and enable analytics via QuickSight and Redshift ML.
• Implement data governance and optimize performance through partitioning and indexing.

Required Skills

• 15+ years of IT experience, including 5+ years in data architecture.
• 3+ years focused on AWS Data Platform.
• Hands-on experience with AWS services: Redshift, Glue, Kinesis, Athena, EMR.
• Proficiency in Data Modeling (star/snowflake schemas, Lakehouse).
• Experience with Big Data tools: Spark, Delta Lake, Parquet/ORC.
• Strong proficiency in Python and SQL.
• Experience with infrastructure-as-code tools like Terraform or CDK.

Preferred Skills

• Experience with Medallion architecture patterns.
• Knowledge of Redshift ML capabilities.

Key Skills

Education

Any Graduate