ZipRecruiter

Log In

1

Data Modernization Jobs in Minnesota (NOW HIRING)

Legrand AV, Inc.

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption, data lakehouse architecture, and integration of enterprise systems such as ERP, MDM, and ...

Deloitte

Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

next page

Showing results 1-20

All JobsData Modernization JobsData Modernization Jobs in Minnesota

Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
What are popular job titles related to Data Modernization jobs in Minnesota? For Data Modernization jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Minnesota look for? The top searched job categories for Data Modernization jobs in Minnesota are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Minnesota as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Data Portfolio Manager

Purple Drive Technologies

Minneapolis, MN • On-site

Full-time

Posted yesterday

Job description

Overview:
Job Title: Data Portfolio Manager
Location: Minneapolis, MN (Onsite)
Experience: 10+ Years
Role Summary
Lead enterprise data initiatives including cloud migration, data modernization, and AI enablement. Own roadmap, delivery, and stakeholder alignment across large-scale data programs.
Key Responsibilities
  • Drive data transformation programs (migration, MDM, AI scaling)
  • Lead ETL / batch processing / data orchestration teams
  • Modernize legacy Oracle/SQL platforms to cloud (ADF, Databricks, Snowflake)
  • Ensure SLA, performance, and operational excellence
  • Manage cross-functional teams and stakeholders
  • Implement automation, monitoring, and AI-assisted development
Required Skills
  • Strong experience with SQL, Oracle, Informatica, CDC
  • Hands-on with ADF, Synapse, Databricks, Snowflake
  • Experience in data platform modernization & cloud migration
  • Proven leadership of large data engineering teams
  • Strong knowledge of ETL frameworks and batch processing
Nice to Have
  • Insurance / Financial domain
  • AI/ML or modern data architecture exposure

Apply