DataOps Engineer

Overview

DataOps Engineer owning end-to-end delivery and operational uptime for ED&A data infrastructure projects.

What you'll do

• Own end-to-end configuration, platform delivery, and deployment architectures for data infrastructure and orchestration pipelines.
• Drive cloud platform administration independently using Infrastructure as Code (Terraform).
• Architect modular documentation frameworks and ensure environments and configurations are audited and visible.
• Own operational uptime and proactively mitigate risks for core data environments.
• Build pipeline health observability patterns in Acceldata to capture anomalies and reduce downtime risks.
• Lead technical squads through complex engineering sprints and manage pipeline release cadences.

What you'll need

• 5+ years of experience in Development Operations or Data Engineering focused on cloud-native automation.
• Proficiency managing complex workstreams using GitHub, Jira, and Smartsheet.
• Deep working knowledge of Snowflake architectures, Terraform, Fivetran patterns, and dbt transformation networks.
• Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan (or similar tools) (preferred).
• Experience with unit-test automation and code refactoring using Cursor or GitHub Copilot (AI-native ops).
• Advanced command of metadata classification frameworks in Atlan (or similar) and configuration of data observability platforms.

Details

• Location: Pune, India.
• Flexible work: at least 50% of time each quarter in the office or in the field with customers, prospects, and partners for the role.