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Platform Engineering Manager Jobs in Colorado (NOW HIRING)

Job Title Manager Data Platform Engineering As the Data Platform Engineering Manager (Governance & Quality), you will lead the strategy, stability, governance, and adoption of the organization ...

Partner with Sales, Account Management, and Trace3 architects to shape pursuits, develop proposals ... Platform Engineering Strategy and Architecture * Develop enterprise platform engineering strategies ...

VP, Platform Engineering

Denver, CO · On-site

$185K - $350K/yr

Build and lead the Platform Engineering organization from the ground up: hiring managers, setting technical direction, and scaling a team to 24+ in 2026 with significant continued growth as the ...

Partner with Sales, Account Management, and Trace3 architects to shape pursuits, develop proposals ... Platform Engineering Strategy and Architecture * Develop enterprise platform engineering strategies ...

Iterable is the leading AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale. The Engineering Manager will lead the Audience team, responsible ...

Operate and maintain VMware vCenter and vSphere platforms for provisioning and management. Required Qualifications Minimum 7 years of experience in platform engineering, DevOps, or systems ...

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Platform Engineering Manager information

What are Platform Engineering Managers?

Platform Engineering Managers are technology leaders responsible for overseeing teams that build and maintain the foundational systems and infrastructure used by software development and operations teams. They ensure that platforms are scalable, reliable, and efficient, enabling other engineers to develop, deploy, and operate applications seamlessly. Their role includes managing team members, coordinating with stakeholders, setting technical direction, and ensuring best practices in automation, security, and cloud infrastructure. They often bridge the gap between development and operations to foster a DevOps culture.

What is the difference between Platform Engineering Manager vs DevOps Engineer?

AspectPlatform Engineering ManagerDevOps Engineer
CredentialsBachelor's/Master's in Computer Science, relevant certificationsBachelor's in CS or related, certifications like AWS, Docker, Kubernetes
Work EnvironmentLeads teams, manages platform development, strategic planningImplements CI/CD pipelines, automates deployment, supports infrastructure
Industry UsageUsed in tech companies, cloud providers, large enterprisesCommon in startups, tech firms, cloud services

The Platform Engineering Manager oversees the development and maintenance of platform infrastructure, focusing on team leadership and strategic planning. In contrast, the DevOps Engineer primarily implements automation, CI/CD pipelines, and supports deployment processes. While both roles require technical expertise and familiarity with cloud and automation tools, the manager has a broader leadership role, whereas the engineer focuses on operational tasks.

What are the key skills and qualifications needed to thrive as a Platform Engineering Manager, and why are they important?

To thrive as a Platform Engineering Manager, you need a strong background in software engineering, cloud infrastructure, and experience leading technical teams, often supported by a degree in computer science or a related field. Familiarity with tools such as Kubernetes, Docker, CI/CD pipelines, and cloud platforms like AWS or Azure, along with certifications such as AWS Certified Solutions Architect, is highly valued. Exceptional leadership, communication, and problem-solving skills help you motivate teams and coordinate complex projects. These skills and qualities are crucial for building robust, scalable platforms and ensuring team alignment with organizational goals.

How does a Platform Engineering Manager typically collaborate with software development and operations teams?

A Platform Engineering Manager plays a pivotal role in bridging the gap between software development and operations teams. They work closely with developers to understand application requirements and with operations to ensure scalability, reliability, and security of the infrastructure. Regular collaboration includes overseeing the design and implementation of platform tools, facilitating communication during incident responses, and aligning platform capabilities with business needs. This cross-functional teamwork ensures that the platform supports efficient and reliable software delivery across the organization.
Manager Data Platform Engineering

Manager Data Platform Engineering

CoorsTek, Inc.

Golden, CO • On-site

Full-time

Posted 13 days ago


CoorsTek rating

8.1

Company rating: 8.1 out of 10

Based on 26 frontline employees who took The Breakroom Quiz


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 Engineering
As 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!

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