Platform Engineer

Platform Engineer – AWS Data Platform

Role Clarification

• Focus is on platform enablement, infrastructure, and managed services
• Not expected to build ETL pipelines , but should understand how platform services support data engineers

Key Expectation

• Build and maintain a secure, scalable, and well-governed AWS data platform using managed services and strong infrastructure practices

Core Responsibilities

• Manage and operate AWS-based data platform infrastructure
• Provision and maintain managed database services and data platform components
• Build and manage CI/CD pipelines for platform and service deployments
• Implement and maintain Infrastructure as Code (Terraform)
• Configure and enforce IAM policies, roles, and access controls
• Enable secure cross-account integrations within AWS
• Support platform services including:
• AWS Glue, Lake Formation, S3, Athena
• EKS, ECS, API Gateway
• Ensure security, governance, and access control across data systems
• Monitor, troubleshoot, and optimize platform reliability and performance

Required Skills

• Strong hands-on experience with AWS ecosystem
• Deep expertise in:
• IAM (policies, roles, cross-account access)
• Terraform
• Good understanding of database concepts and managed database services
• Experience provisioning and managing:
• PostgreSQL, Aurora/RDS, Redshift (or similar managed databases)
• Experience with data lake / lakehouse platforms :
• S3, Glue, Lake Formation, Athena, Iceberg tables
• Strong troubleshooting skills:
• IAM issues, data access problems, Lake Formation permissions, Glue Catalog
• Experience with:
• Cross-account data access and integrations
• Security, governance, and access control for data
• Knowledge of:
• CI/CD tools (Jenkins, GitHub Actions, CodePipeline, etc.)
• Cloud networking basics (VPC, endpoints, security groups)

Nice to Have

• Exposure to:
• Streaming/data platforms (Kafka, Kinesis)
• Workflow/orchestration tools (MWAA / Airflow)
• Experience with:
• Observability (CloudWatch, Prometheus, Grafana)
• AWS cost optimization