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Data Engineer Architect Jobs in Minnesota (NOW HIRING)

Data Engineer

Rochester, MN · On-site

$116K - $139K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... The hire will be responsible for expanding and optimizing data architecture, as well as optimizing ...

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... The hire will be responsible for expanding and optimizing data architecture, as well as optimizing ...

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large ...

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

Data Engineer gains access to data across the organization and provides ongoing analysis of the ... The hire will be responsible for expanding and optimizing data architecture, as well as optimizing ...

... Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... This hands-on role requires someone who can architect robust data solutions while creating ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This hands-on role requires someone who can architect robust data solutions while creating ... PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst)

Data Engineer

Chisago City, MN · On-site

$80K - $120K/yr

Key Responsibilities Database & Data Architecture * Design and maintain database schemas, asset ... Collaborate with IoT engineers on data contracts and payload structure. Dashboards & Analytics

Principal Data Engineer

Saint Paul, MN · On-site

$101 - $163.84/hr

Lead the design and architecture of enterprise data platforms. * Define engineering standards, frameworks, and best practices. * Drive modernization of data systems and adoption of cloud-native ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Implement Data as per Medallion Architecture: Utilize the Medallion (Bronze/Silver/Gold ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Implement Data as per Medallion Architecture: Utilize the Medallion (Bronze/Silver/Gold ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (Google Cloud Platform) while contributing to the architecture and implementation of ...

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement ...

Showing results 21-40

Data Engineer Architect information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data engineer architect, and why are they important?

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

What is the difference between Data Engineer Architect vs Data Engineer?

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.

Data Engineer

Mayo Clinic

Rochester, MN • On-site

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 697 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description

Data Engineer gains access to data across the organization and provides ongoing analysis of the data by monitoring, profiling and analyzing databases. Requires a mix of functional, data and technical skills. The right candidate must be able to understand business requirements, translate them into information needs and implement those requirements using data available. The hire will be responsible for expanding and optimizing data architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems. The Data Engineer will support our software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 
Core job duties include:
Assemble large, complex data sets that meet functional / non-functional business requirements.
Strong knowledge of SQL required. Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining
Perform complex data analysis and investigation for customer requests to explain results and to make appropriate recommendations.
Strong understanding of data modeling concepts
Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis)
Understand ETL that will aid in verification and testing of data
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Analyze business objectives and develop data solutions to meet customer needs.
Demonstrated ability to effectively participate in multiple, concurrent projects
Improve and customize current data solutions to meet business functional and non-functional requirements.
Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.
Perform periodic data quality reviews for internal and external data.
Ensure timely resolution of queries and data issues.
Look for new ways to find and collect data by researching potential new sources of information.
Work with data and analytics experts to strive for greater functionality in our data systems.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Bachelor's degree in Computer Science, Engineering, or related field from an accredited University or College; OR an Associate's degree in Computer Science, Engineering, or related field from an accredited University or College with 2 years of experience. Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques, is required. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.


What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919