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Data Platform Manager Jobs in Minnesota (NOW HIRING)

Employs product management practices and tactics including customer research, data and analytics ... Understanding of API integration between FX trading platforms and back-office systems. - Knowledge ...

Configure and implement data management and analytic platform changes * Document data pipeline architectures, workflows, and procedures for internal and external stakeholders * Work closely with ...

Senior Data Platform Engineer

Hopkins, MN · On-site

$107K - $146K/yr

Own the Snowflake data warehouse strategy including schema design, dynamic table definitions ... Experience with DeltaStream or similar managed stream processing platforms * Familiarity with Sigma ...

This function is responsible for leading the team members accountable to drive operational platform ... Employs product management practices and tactics including customer research, data and analytics ...

ACH Platform Manager

Saint Paul, MN · On-site

$133K - $156K/yr

This function is responsible for leading the team members accountable to drive operational platform ... Employs product management practices and tactics including customer research, data and analytics ...

This role partners closely with Product Managers, TPMs, Engineers, Business Partners, and ... outcomes, and data-driven insights. They champion Agile ways of working, coach teams and ...

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Showing results 1-20

Data Platform Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data platform manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data platform manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What does a platform manager do?

A platform manager oversees the development, maintenance, and optimization of data platforms that support an organization's data infrastructure. They coordinate teams, ensure data security, and implement tools and processes for data integration, storage, and analysis, often using technologies like cloud services and data management software.

How much do customer data platform managers make?

Customer Data Platform Managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $160,000.

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 kind of jobs in media bring in $150,000 a year?

In media, senior roles such as Media Director, Content Director, or Executive Producer can earn $150,000 or more annually, especially with extensive experience and leadership responsibilities. High-paying positions often require strong project management skills, industry knowledge, and sometimes advanced degrees or certifications in media or communications.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain executive positions like Chief Executive Officers, investment bankers, and top-tier technology leaders often reach or exceed this level, especially with bonuses, stock options, or profit sharing. These roles typically require extensive experience, advanced skills, and often a combination of leadership and technical expertise.

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.
What are the most commonly searched types of Data Platform jobs in Minnesota? The most popular types of Data Platform jobs in Minnesota are:
What are popular job titles related to Data Platform Manager jobs in Minnesota? For Data Platform Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Minnesota look for? The top searched job categories for Data Platform Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Data Platform Manager jobs? Cities in Minnesota with the most Data Platform Manager job openings:
Infographic showing various Data Platform Manager job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.
Data Platform Engineer

Data Platform Engineer

Apogee Enterprises, Inc.

Minneapolis, MN • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 hours ago


Apogee Enterprises rating

7.9

Company rating: 7.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

23rd of 84 rated plastic manufacturers


Job description

Apogee Services Inc.
Position Summary
Apogee's Data, Analytics & Integration organization focuses on implementing processes and solutions for Data Governance, Master Data Management, Data Analytics and Integration.
This Data Platform Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners; implementing and supporting future Data Integration and Data Analytics solutions; and consulting on data-related projects from the data engineering perspective across the organization.
Responsibilities
  • Design, develop, and maintain scalable and robust data pipeline architectures, ensuring data quality and consistency across multiple data sources
  • Collaborate with the Business Intelligence team and business stakeholders to understand data requirements and translate them into technical solutions
  • Help implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant industry regulations and standards
  • Develop and maintain ETL (Extract, Transform, Load) processes to support data ingestion, transformation, and integration from various sources, including APIs, databases, and external data providers
  • Monitor and troubleshoot data pipeline performance issues, ensuring timely resolution and minimal downtime
  • Organize and monitor testing, training, documentation, and sign offs related to data platforms
  • Configure and implement data management and analytic platform changes
  • Document data pipeline architectures, workflows, and procedures for internal and external stakeholders
  • Work closely with cross-functional teams to support the integration of data-driven insights into business processes and decision-making
  • Other duties as assigned

Education & Experience Requirements
Required:
  • Bachelor's in computer science, Engineering, or a related field
  • 3-5 years of experience in data engineering, with a proven track record of designing and implementing complex data pipelines
  • Strong expertise in SQL, data modeling, and data warehousing concepts
  • Experience with Databricks
  • Experience with the Microsoft Power BI data visualization tool
  • Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
  • A strong desire to stay up to date with the latest industry trends and advancements in data engineering

Preferred:
  • Master's degree
  • Experience with Snowflake Data Cloud
  • Proficient in the Microsoft Azure framework (e.g., Analysis Service, Data Factory, ...)

Work Environment
This position operates in a hybrid work environment, with a combination of on-site office presence and remote work. The role involves primarily sedentary work, with extended periods of sitting and frequent use of computers and standard office equipment. Regular participation in virtual and in-person meetings is required, including collaboration with team members and stakeholders across multiple locations.
Salary Range: $80,000-$100,000
#LI-TV1
Our Benefits
We care about and invest in our employees. We are proud to offer a comprehensive benefits package designed to support their well-being and foster professional development. Here is a glimpse of what you can look forward to if you join our team.
  • Competitive Benefits Package for employees and their dependents (Medical, Dental, Vision, Life, Disability)
  • Incentive Plans
  • 401(k) with employer contribution and match
  • Employee Stock Purchase Plan with employer match
  • Paid Time Off (Vacation and Sick Time)
  • Paid Holidays
  • Tuition Reimbursement Program
  • Employee Assistance Program (EAP)
  • Wellness Program
  • Training and Career Progression

Apogee and our brands are an Equal Opportunity Employer.

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