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Data Platform Manager Jobs in Minnesota (NOW HIRING)

Data Architect

Minneapolis, MN

$66.50 - $85.50/hr

Data Architecture & Platform Design * Define and maintain enterprise data architecture standards ... Establish architectural guardrails that support governance, metadata management, and appropriate ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Data Architecture & Platform Design * Define and maintain enterprise data architecture standards ... Establish architectural guardrails that support governance, metadata management, and appropriate ...

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

Senior Data Analyst

Chanhassen, MN

$87K - $110K/yr

Lead the migration of IWCO Direct's analytics platform from SQL Server-based data warehouse and ... Familiarity with Azure DevOps or similar project management and CI/CD tooling preferred. Physical ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... platform capabilities • Evaluate tradeoffs between speed, scalability, and long-term ... metadata management, and appropriate data access • Partner with business and technical ...

Showing results 21-40

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 Aug 8, 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.

Are data platform managers in demand?

Data platform managers are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong technical skills in data architecture, cloud platforms, and analytics tools, and often see competitive job growth and salary prospects.

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.

How much do data platform managers make?

Data platform managers typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and company size. They often require skills in cloud platforms, data architecture, and leadership, with higher salaries for those with advanced certifications or extensive experience.

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?

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.
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 August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

$66.50 - $85.50/hr

Full-time

Re-posted 18 days ago


Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Overview

At Tactile Medical, we are evolving our data capabilities from report-driven analytics to a scalable, enterprise data platform built on Microsoft Fabric. The Data Architect will play a critical role in designing and governing the end-to-end data ecosystem, ensuring consistency, scalability, and long-term sustainability. This role is responsible for establishing enterprise data architecture standards, connecting disparate systems, and enabling a unified data foundation that supports reporting, self-service analytics, and future AI/ML capabilities. As a highly visible, strategic partner to IT leadership, the Data Architect will balance hands-on technical work with architectural governance and cross-functional collaboration while helping to mature data practices across the organization.

Accountabilities & Responsibilities:

Data Architecture & Platform Design

  • Define and maintain enterprise data architecture standards, frameworks, and reference models
  • Design end-to-end Microsoft Fabric solutions, including Lakehouse, Warehouse, semantic models, and reporting layers
  • Establish scalable data modeling standards, including dimensional (star schema) and semantic modeling practices
  • Define environment and workspace strategies (dev, test, prod) to support reliable and repeatable delivery

Solution Governance & Enablement

  • Review and guide data solution designs to ensure alignment with enterprise architecture standards
  • Partner with Data Platform Engineering to establish reusable patterns, pipelines, and platform capabilities
  • Evaluate tradeoffs between speed, scalability, and long-term maintainability, providing clear recommendations
  • Enable consistent use of shared datasets, metrics, and semantic models across the organization

Cross-System Data Strategy

  • Design and document data flows, lineage, and ownership across systems and platforms
  • Define canonical data models to ensure consistency across core systems such as Salesforce, NetSuite, and Brightree
  • Align data definitions across the organization to reduce duplication and improve data quality
  • Establish architectural guardrails that support governance, metadata management, and appropriate data access

Stakeholder Collaboration & Leadership

  • Partner with business and technical stakeholders to translate data needs into scalable architectural solutions
  • Communicate complex architectural concepts and tradeoffs to both technical and non-technical audiences
  • Mentor and educate team members on data architecture standards, best practices, and emerging capabilities
  • Serve as a strategic partner to IT leadership, helping shape the organization's long-term data strategy

Other:

  • Participate in key architecture and data strategy discussions across the organization
  • Contribute to continuous improvement of data platform capabilities and processes
  • Perform additional duties as assigned

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Analytics, Statistics, or a related field (or equivalent work experience)
  • 5+ years of experience in data architecture, data modeling, or enterprise data design
  • Experience designing and implementing data solutions using Microsoft Fabric or related technologies (e.g., Azure Data Factory, Lakehouse, OneLake, Power BI)
  • Strong experience building dimensional data models (e.g., star schema) and semantic layers
  • Experience translating technical data structures into business-friendly data models and insights

Preferred:

  • Experience working with Salesforce data models and integrating Salesforce data into enterprise platforms
  • Familiarity with NetSuite and/or Brightree data structures
  • Experience in healthcare, medical device, or other regulated environments
  • Background in mid-sized organizations or consulting environments with hands-on responsibilities

Knowledge & Skills

  • Strong systems thinking with the ability to design end-to-end data architectures across multiple platforms
  • Ability to define and maintain canonical data models across disparate systems
  • Proven ability to balance short-term delivery needs with long-term scalability and sustainability
  • Comfortable influencing decisions and driving alignment without formal authority
  • Strong communication skills with the ability to translate complex technical concepts into clear business language
  • Hands-on technical capability with a willingness to contribute to development when needed
  • Experience working in evolving environments where processes and standards are being established
  • Collaborative, adaptable, and pragmatic approach to problem-solving
  • High level of ownership with a focus on building scalable, reusable solutions

What Tactile Medical employees say

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