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Data Platform Manager Jobs (NOW HIRING)

Data Platform Management Oversee the architecture, development, and maintenance of the data lake (Snowflake, Databricks) and BI tools (Domo, Tableau, and alternatives). Potentially manage real-time ...

DATA Platform Architect

Pittsburgh, PA · Hybrid

$59.50 - $76.50/hr

Partner closely with Data Product Managers, Tech Leads, Data Engineers, and Platform teams ... Review and approve solution designs, models, and implementations. * Act as a bridge between ...

New

Engineering Manager, Data Platform

$117K - $140K/yr

They are seeking an Engineering Manager to lead their Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink's products and decisioning systems.

Engineering Manager, Data Platform

$117K - $140K/yr

They are seeking an Engineering Manager to lead their Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink's products and decisioning systems.

Engineering Manager, Data Platform

$117K - $140K/yr

They are seeking an Engineering Manager to lead their Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink's products and decisioning systems.

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ... Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs ...

Engineering Manager, Data Platform

$117K - $140K/yr

They are seeking an Engineering Manager to lead their Data Platform team, responsible for building and scaling the data infrastructure that powers SentiLink's products and decisioning systems.

Data Platform Engineer

Atlanta, GA · On-site

$100K - $150K/yr

Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment. * Expert in coding with Python and Go. Deep experience with Cloud ...

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment. * Expert in coding with Python and Go. Deep experience with Cloud ...

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance ... Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs ...

$134K - $162K/yr

Role: Data Platform Engineer-SeniorAssociate (Data & Analytics | Data Operations) Experience: 5 ... Regular management of service requests, change requests,and incident management. Major Incident ...

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Data Platform Manager information

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$31K

$97.1K

$172K

How much do data platform manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data platform manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

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

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
More about Data Platform Manager jobs
What cities are hiring for Data Platform Manager jobs? Cities with the most Data Platform Manager job openings:
What are the most commonly searched types of Data Platform jobs? The most popular types of Data Platform jobs are:
What states have the most Data Platform Manager jobs? States with the most job openings for Data Platform Manager jobs include:
Manager Data Platform Engineering

Manager Data Platform Engineering

CoorsTek, Inc.

Golden, CO • On-site

Full-time

Posted 22 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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