- Role: Data Architect- AWS
- Mode of Work: - Hybrid (Cleveland Ohio)
Role: Design build and optimize scalable secure data solutions on AWS.
Key Responsibilities:
- Design & Develop a scalable data platform to support Reporting & Analytics leveraging AWS Data Platform
- Architect data lakes (S3 Lake Formation) warehouses (Redshift) and pipelines (Python Glue Kinesis).
- Design Data architecture (Medallion etc.)
- Design & Develop reusable frameworks
- Implement ETL/ELT workflows using AWS services (Lambda EMR Athena).
- Ensure data quality security (IAM KMS) monitoring (CloudWatch) and cost optimization
- Implement data governance practices and compliance frameworks
- Optimize performance (partitioning indexing) and enable analytics (QuickSight Redshift ML).
Requirements:
- Minimum 15 Years of experience in IT with 5 years in data architecture with 3 years focused on AWS Data Platform.
- Hands-on experience with:
- AWS Analytics (Python Glue Redshift Athena EMR)
- Data Modeling (star/snowflake schemas Lakehouse)
- Big Data (Spark Delta Lake Parquet/ORC)
- Certifications preferred (AWS Certified Solutions Architect Associate AWS Certified Data Engineer Associate).
- Strong Python/SQL and infrastructure-as-code (Terraform/CDK).