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Data Platform Manager Jobs in Minnesota (NOW HIRING)

Niron Magnetics

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... data management, and semantic layers that create a single, trusted source of truth across the ... What We're Looking For • 10+ years of experience in data engineering, data platforms, or ...

CLA (CliftonLarsonAllen)

Data Manager

Minneapolis, MN · On-site

Manage MHEC's customer relationship management (CRM) system, ensuring data integrity, integration with other platforms, and alignment with organizational needs. * Partner with teams across the ...

Ziegler CAT

Data Engineer (On-Premise)

Minneapolis, MN · On-site

$95K - $118K/yr

Design, develop, maintain, and optimize enterprise data warehouses and data platforms utilizing Microsoft Fabric. * Develop, manage, and monitor ETL/ELT pipelines that support operational reporting ...

New

Coffee And Bagel Brands

Data Architect

Brooklyn Center, MN · On-site

$65.75 - $84.75/hr

Manage and administer cloud data infrastructure (e.g. Azure, Snowflake, or equivalent platforms) including monitoring, troubleshooting, optimization, and issue resolution. * Implement and maintain ...

Coffee & Bagel Brands

Data Architect

Minneapolis, MN · On-site

$90.58 - $150.97/hr

Maintain technical documentation for data architecture and platform standards. * Establish and manage data retention, archival, backup, and recovery processes to support business continuity and ...

New

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

Positioned within a centralized IT function, you will manage cross-domain data products and platforms that support analytics and decision-making across Customer, Marketing, Supply Chain, and Finance.

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

Positioned within a centralized IT function, you will manage cross-domain data products and platforms that support analytics and decision-making across Customer, Marketing, Supply Chain, and Finance.

Dlapiper

Data Engineer

Minneapolis, MN

$119K - $143K/yr

... manage field mappings and transformations to support consistent downstream consumption. Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g., Azure Data ...

Judge Group, Inc.

Cloud Data Architect

Minneapolis, MN · On-site

$170K - $175K/yr

... management, and tool usage. Generic Managerial Skills, If any 15-20 years of experience in data architecture, data engineering, and analytics platforms Strong consulting experience in large BFSI ...

QBP

BI Application Manager

Bloomington, MN · Hybrid

$140K - $150K/hr

The BI Manager oversees the modern cloud data platform - from data ingestion and lakehouse architecture through semantic modeling, reporting, and emerging AI/agentic analytics capabilities and serves ...

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All JobsData Platform JobsData Platform Manager JobsData Platform Manager Jobs in Minnesota

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:
Data Platform Manager jobs near you
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.

Data Architect

Niron Magnetics

Minneapolis, MN • On-site

$66.50 - $85.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

About Niron
Niron Magnetics is commercializing the first new magnetic material in decades powered by its breakthrough material formulation and advanced manufacturing process. The company's proprietary magnet technology based on Iron Nitride enables magnets that are inherently high magnetization, free of rare earths and other critical materials, and solve supply chain reliability challenges, will drive innovation in various industries. Headquartered in Minneapolis, MN, Niron Magnetics is comprised of a team of professionals with a desire to make a positive impact on the global community. We were named one of "America's Top GreenTech Companies" for 2024 and 2025 by TIME Magazine and the "Innovation of the Year" at the 2025 mHUB Fourth Revolution Awards.
Our team is made up of people who think big, dare to innovate, and strive to impact the planet through technological innovation for our customers. Ready to work alongside amazing people, solve complex problems, and leave a legacy? Join our team.
What you'll do
Niron Magnetics is seeking a Enterprise Data Architect to define and evolve the data architecture that underpins manufacturing, R&D, and business operations as we scale toward high-volume production This role owns how the estate matures from the current MS fabric foundation, scaling and expanding the platform, and evaluating and deploying additional environment in the data estate as well as complementary data tools as the business requires.
This is a senior, hands-on technical leadership role for someone excited to scale and mature a foundational data platform in a high-growth, deep-tech manufacturing environment operating under strict compliance requirements.
Define Data Architecture and Strategy
• Design and own the end-to-end enterprise data architecture spanning ingestion, storage, modeling, transformation, governance, and consumption.
• Build on the existing Microsoft Fabric platform and initial data lakehouse, maturing the architectural patterns, standards, and reference designs that make the estate scalable, secure, and maintainable.
• Assess where the current lakehouse foundation should expand, and evaluate, select, and deploy additional data estate stores, and complementary data tooling to meet analytics, reporting, and AI needs across the business.
• Define canonical data models, master data management, and semantic layers that create a single, trusted source of truth across the business.
• Set the roadmap for evolving the data estate as Niron scales, sequencing work to deliver near-term value while protecting long-term architectural integrity.
Enable Analytics, Reporting, and AI
• Partner with Manufacturing, R&D, Quality, Finance, and Operations to identify high-value data and analytics use cases (e.g., production reporting, yield and quality analysis, cost and supply insights).
• Build the data foundations that power business intelligence, self-service analytics, and downstream AI/ML systems.
• Design robust integration between core systems-ERP (D365 Finance & Operations), MES/manufacturing systems, laboratory tools, and enterprise SaaS-via APIs, message queues, and ETL/ELT pipelines.
• Translate business and technical requirements into resilient, well-documented data designs.
Data Governance, Security, and Compliance
• Own data governance: data quality, lineage, cataloging, classification, retention, and access control.
• Partner with IT and Security to ensure the data estate meets reliability, security, and regulatory compliance obligations, including handling of controlled and export-regulated data.
• Design data segregation and controls appropriate to a multi-tenant, compliance-sensitive environment.
Technical Leadership and Collaboration
• Act as the technical authority and advisor on data architecture, best practices, and trade-offs.
• Review designs, mentor data and analytics engineers, and raise the technical bar across teams.
• Support build-vs-buy decisions and evaluate vendors, tools, and platforms.
• Communicate complex technical concepts clearly to non-technical stakeholders and influence without authority.
What We're Looking For
• 10+ years of experience in data engineering, data platforms, or enterprise/data architecture, with demonstrated architectural ownership of production systems.
• Deep expertise designing modern data estate architecture, dimensional and canonical data modeling, and semantic layers.
• Deep hands-on experience with a modern cloud data platform, specifically Microsoft Fabric and the Azure data stack experience.
• Experience with Databricks, specifically in a controlled-data environment, is strongly desired.
• Demonstrated experience integrating enterprise systems and building data pipelines via REST, GraphQL, message queues, webhooks, and ETL/ELT tooling.
• Strong grounding in cloud architecture (Azure preferred), and in data governance disciplines-quality, lineage, cataloging, MDM, and access control.
• Proficiency in SQL and Python; familiarity with R and/or Spark a plus.
• Experience integrating with or sourcing data from ERP (D365 F&O or comparable) and operational/industrial systems preferred.
• Ability to balance near-term delivery with long-term architectural vision.
• Excellent communication skills and comfort operating in ambiguous, early-stage environments.
Nice to Have
• Experience in manufacturing, industrial, or deep-tech environments.
• Experience working within a regulated or a compliance-driven environment.
• Advanced degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with time-series, OT/sensor, or manufacturing process data.
• Familiarity with enabling AI/ML and RAG workloads on top of a governed data estate.
• Passion for clean tech, sustainable materials, or climate-positive innovation.
Our pay and benefits
• Salary $165,000-$190,000
• Equity position in Niron via stock option grant
• Comprehensive medical, dental, and vision insurance
• Mental healthcare
• 401k plan with company match
• Paid vacation, sick time, and holidays
• Experience in a fun, high-performing, manufacturing environment
Recruiters and Employment Agencies: Please note that Niron Magnetics does not accept unsolicited resumes from external agencies. Any unsolicited resumes submitted to our career site, hiring managers, or employees will be considered the property of Niron Magnetics. Consequently, we reserve the right to hire these candidates at our discretion without any financial obligation to the submitting agency.

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