Job Requirements Education:

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Systems Engineering, or a related field required. Master's degree preferred.

Experience:

5 or more years of progressive experience in site reliability engineering, data platform engineering, cloud operations, DevOps, software engineering, data engineering, or production application support. 3 or more years supporting cloud, data, analytics, application, or platform services in production environments preferred. Experience with Databricks, Delta Lake, Unity Catalog, SQL, Python, PySpark, notebooks, jobs/workflows, SQL warehouses, clusters, or lakehouse architecture. Experience operating applications through incident management, problem management, change management, monitoring, release management, and production readiness practices. Preferred experience with Azure, CI/CD pipelines, Git-based development, infrastructure patterns, logging, alerting, automation, and support runbooks. Preferred experience supporting data pipelines, analytics products, dashboards, APIs, AI-enabled applications, or business-critical reporting environments. Functional /

Technical Knowledge, Skills & Abilities:

Strong understanding of SRE, DevOps, IT operations, and production support practices, including reliability, observability, automation, incident response, and operational excellence. Working knowledge of Databricks platform capabilities, including Delta tables, notebooks, workflows/jobs, SQL, Unity Catalog, lineage, permissions, compute configuration, and governed access patterns. Ability to troubleshoot Databricks jobs, pipelines, notebooks, SQL queries, permissions, data refreshes, performance issues, and environment or integration failures. Ability to write and review SQL and Python; PySpark, scripting, API, and automation experience preferred. Ability to define operational readiness standards for applications created by citizen developers, IT teams, consultants, and data engineering teams. Strong understanding of monitoring, alerting, logging, service health, SLOs, runbooks, release controls, rollback planning, and root cause analysis. Ability to balance speed, business enablement, cybersecurity, supportability, cost control, and long-term platform sustainability. Ability to partner effectively with Data & Analytics, Cybersecurity, Architecture, Infrastructure, Enterprise Applications, Manufacturing IT/OT, and business stakeholders. Strong documentation and communication skills, including support models, knowledge articles, architecture notes, production checklists, escalation paths, and operational dashboards. Ability to manage multiple production priorities, operate calmly during incidents, drive follow-through on corrective actions, and influence teams without direct authority.

Preferred Certifications:

Relevant Databricks certifications, including Data Engineer, Data Analyst, Machine Learning, or Lakehouse Fundamentals preferred. Relevant Microsoft Azure, DevOps, cloud engineering, cybersecurity, ITIL, SRE, observability, or data engineering certifications preferred. ITIL Foundation, Azure Administrator, Azure Developer, GitHub, Terraform, Kubernetes, or related platform operations certifications are a plus.

Additional Position Details:

Location :

Golden, CO (on-site)

Work Authorization:

Requires U.S. Person status (U.S. citizen, a Green Card holder, or a protected refugee/asylee)

Target Hiring Range Annual Salary:

USD 115,000.00 - USD 155,000.00

Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation. 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