DevOps Engineer

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

• →Build and maintain Azure DevOps CI/CD pipelines for Data Engineering, dbt, Snowflake, and analytics workloads.
• →Support deployment and promotion of data models, database objects, pipelines, and configurations across development, test, and production environments.
• →Provide day-to-day operational support for Snowflake, including environment configuration, maintenance, monitoring, performance, access, and troubleshooting.
• →Support Fivetran connectors and data integration processes, including monitoring failures, schema changes, and data movement.
• →Support DevOps and operational processes for Power BI, including deployment pipelines, workspaces, semantic models, gateways, connections, and refresh monitoring.
• →Automate recurring platform administration, deployment, and support activities using scripting, APIs, and workflow automation.
• →Support data catalog administration, security, governance, and platform connectivity.
• →Assist with integrations to AI and automation technologies such as n8n, Snowflake MCP, and related tools.
• →Maintain deployment standards, operational documentation, and support runbooks.
• →Partner with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and operational efficiency.
• →Assist with Data Science and ML deployment processes as those capabilities mature.

• 3–5 years of experience in DevOps, Data Engineering, platform engineering, analytics engineering, or a related role.
• Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and release processes.
• Working knowledge of Snowflake or a comparable cloud data platform.
• Experience with SQL and deploying data or analytics solutions across multiple environments.
• Familiarity with dbt or similar data transformation and modeling technologies.
• Experience with scripting or automation using Python, PowerShell, SQL, APIs, or similar tools.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively across Data Engineering, BI, and infrastructure teams.

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