Job Description

It's exciting to work for a company that makes the world measurably better.

We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.

Job Title

Manager Data Platform EngineeringAs the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization’s modern data platform. In this role, you will be responsible for ensuring the data ecosystem supports scalable, reliable, and business-impacting analytics capabilities. You will work cross-functionally with business stakeholders, data engineering, analytics teams, and IT leadership to guide platform direction, drive best practices, and ensure strong user adoption. This is a player‑coach role that blends platform architecture oversight, operational ownership, and enablement of self‑service analytics across the organization.

Roles & Responsibilities:
Platform Strategy & Architecture

• Execute and deliver against the data platform roadmap aligned to business and analytics strategy. Contribute to and implement architectural decisions related to data ingestion, transformation, modeling patterns, Lakehouse architecture, medallion design, and Semantic and consumption layer strategy across Power BI and Sigma.
• Ensure platform scalability, performance, cost optimization, and future-readiness.
• Provide strong input for and introduce new platform capabilities, tooling, and automation to improve platform maturity.

Platform Stability & Operations

• Manage platform reliability, availability, and performance monitoring.
• Establish and manage SLAs / SLOs for data pipelines and analytics workloads, incident management and root cause processes, platform governance, security, and access patterns.
• Partner with infrastructure / cloud teams and provide input on environment strategy, workspace management, cost visibility and optimization.
• In coordination with Data & Analytics leadership, ensure data platform production readiness standards for data products and pipelines.

Adoption & Enablement

• Support adoption of the data platform and self-service analytics capabilities
• Define standards for data product design, dashboard and analytics development, documentation and discoverability. Lead user enablement initiatives such as training programs, office hours and community of practice, analytics governance forums.
• Partner with business teams to identify high-value use cases and accelerate delivery.

Team Leadership & Delivery

• Lead and develop a team of data engineers, analytics engineers, or platform specialists.
• Establish delivery frameworks and prioritization processes.
• Promote modern engineering practices including CI/CD for data pipelines, Testing and observability, Agile / product-oriented operating models.
• Collaborate closely with Data & Analytics leadership to ensure platform investments drive measurable business outcomes.

Job Requirements:

Education and Experience:

• Bachelor’s degree in Engineering, Computer Science, Data Science or Information systems or equivalent work experience.

• 7+ years of experience in data engineering, analytics engineering, or data platform leadership.
• 3+ years of experience leading technical teams.

Functional/Technical Knowledge, Skills & Abilities:

• Hands-on experience with Databricks / Lakehouse architectures.
• Strong familiarity with modern BI and semantic consumption patterns (Power BI, Sigma, or similar).
• Experience managing production data platforms in cloud environments (Azure, AWS, or GCP).
• Proven ability to drive platform adoption and organizational change.
• Strong stakeholder engagement and communication skills.

Preferred Qualifications & Experience:

• Experience in manufacturing, industrial, or operational analytics environments.
• Knowledge of data governance frameworks and data product operating models.
• Experience with cost optimization and FinOps practices in analytics platforms.
• Familiarity with orchestration tools, data ingestion tooling, and modern ELT patterns.
• Exposure to machine learning platform enablement or MLOps.

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 128,555.00 - USD 176,763.00

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.

If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!