Role: Cloud / DevOps Engineer Data Platform Infrastructure
Primary Skill: AWS Docker, Terraform, Git
Location: Hyderabad, Pune, Coimbatore
Experience: 5-7 Yrs
Job Title: Cloud / DevOps Engineer Data Platform Infrastructure
Primary Skill:
- Terraform, AWS CDK
- AWS (IAM, VPC, EC2, S3, Glue, Lambda, CloudWatch)
- AWS Lake Formation (permissions and access control)
- Snowflake platform automation
- GitLab CI/CD
- Docker, Amazon ECS (where applicable)
Job Summary:
Design, operate, and continuously enhance cloud infrastructure, CI/CD pipelines, and observability to ensure reliability, scalability, and performance of data platforms and related services.
Key Responsibilities
- Act as the technical authority for production support and enhancement services across data platforms, cloud infrastructure, and data services.
- Own architectural alignment to ERIE's Data Lake Medallion Architecture (Bronze / Silver / Gold).
- Lead technical escalations, root cause analysis (RCA), corrective action planning, and continuous improvement initiatives.
- Define and enforce standards for:
- Data modeling and schema evolution
- CDC and SCD Type 2 patterns
- Data quality, reconciliation, and observability
- Security, governance, and access controls
- Oversee cost, performance, and reliability optimization across AWS services and Snowflake.
- Coordinate cross-functional delivery across data engineering, cloud/DevOps, analytics, and application support teams.
- Serve as the primary technical escalation point for ERIE stakeholders.
Required Skills
- Deep hands-on experience in designing, building, and operating enterprise-scale cloud data platforms, with a strong focus on reliability, scalability, and operational excellence.
- Demonstrated technical leadership in AWS-based data architectures, leveraging Apache Iceberg, Snowflake, AWS Glue, and governed Medallion (Bronze/Silver/Gold) architectures to support analytics and data products.
- Proven ability to balance platform standardization, performance optimization, security, and cost efficiency across large-scale data and cloud environments.
- Strong stakeholder communication and leadership skills, with the ability to translate complex technical concepts into clear business outcomes and drive alignment across crossfunctional teams.
