Cloud / DevOps Engineer

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 Skills

• 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 cross?functional teams.