Remote Release Engineer

Release Engineer

Our client is looking for a Release Engineer with a collaborative, can-do mindset who takes pride in helping teams ship reliable data products. You will design and build the automated code promotion framework for the client's data platforms and run the day-to-day release process. Your work will focus on packaging and promoting SQL, Python, and PySpark code, as well as ADF, Databricks, and Snowflake changes, with clear validation gates, approvals, and audit trails. You will set up monitoring, rollback paths, and hotfix flows so releases are fast, secure, and recoverable. By partnering closely with Data Engineering and Technical Development, you will strengthen our release automation and help drive the client's next phase in their digital journey.

Responsibilities:

• Build and run automated code packaging/promotion using Azure DevOps Pipelines YAML and GitHub Actions.
• Build PR validation gates including code style, linting, unit tests, dependency checks, and secret scans.
• Implement approval flows, artifact versioning, release notes, and deployment audit logs.
• Package and promote data code across ADF, Databricks, Snowflake, and SQL with environment configs.
• Enable safe releases with rollback triggers, pre-deployment backups, and cherry-pick hotfix support.
• Create monitoring and alerts for promotions, track success rate, change failure rate, and time to recover.
• Standardize with reusable release templates and containerized promotion jobs.
• Write runbooks and handoffs for support teams, drive weekly post-release reviews and fixes.
• Use Git effectively including branching, PR reviews, required checks, and protected branches.
• Orchestrate notifications and service integrations using Logic Apps and Azure Functions.
• Collaborate with Data Engineering and DataOps to plan releases and resolve issues quickly.
• Build observability for release health using pipeline logs, metrics, and dashboards.
• Perform root cause analysis for production errors.
• Maintain strong Git practices including branching, required checks, and protected branches.
• Document standards and runbooks in Confluence and manage work in Jira including release tickets and RCA.