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Senior Data Architect Jobs in Minnesota (NOW HIRING)

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Senior Data Architect Miniiapolis, MN OR Hartford, CT (Need only local candidates) (4 days onsite) A thought leader who can define and build out the components of a comprehensive data strategy and ...

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

In this senior-level role, you will drive the strategic data architecture for the PM2PA application. You will be responsible for the design, implementation, and maintenance of the PM2PA data ...

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be designing new workflows and business processes to optimize and simplify collaboration between Stantec ...

Data Architect

Maple Plain, MN · On-site

$67.25 - $86.50/hr

... senior technical leaders * Prepare and maintain architecture documentation, data flow diagrams, and technical standards * Stay current on data architecture, analytics, and cloud platform best ...

Data Architect

Maple Plain, MN · On-site

$66 - $85/hr

... senior technical leaders * Prepare and maintain architecture documentation, data flow diagrams, and technical standards * Stay current on data architecture, analytics, and cloud platform best ...

Data Architect

Maple Plain, MN · On-site

$66 - $85/hr

... senior technical leaders * Prepare and maintain architecture documentation, data flow diagrams, and technical standards * Stay current on data architecture, analytics, and cloud platform best ...

We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise. * This is not a ...

New

AI Data Architect

Saint Paul, MN · On-site +1

$83.20K - $178.80K/yr

Experience presenting and defending architectural decisions with senior executives and regulators. * Hands-on experience with data Lakehouse technologies (Apache Iceberg, Delta Lake, Hudi)

Cloud Data Architect

Minneapolis, MN · On-site

$170K - $175K/yr

Cloud Data Architect Minneapolis or Dallas Fulltime Must Have Technical/Functional Skills Architect ... Act as a trusted advisor to senior business and IT stakeholders Architect Agentic AI ecosystems ...

Senior Cloud Data & AI Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Cloud Data Architect Location: Minneapolis and Dallas Job Type: Fulltime Must Have Technical ... senior business and IT stakeholders Architect Agentic AI ecosystems using LLMs, vector databases ...

Senior DATABASE ARCHITECT

Chanhassen, MN · On-site

$68.50 - $91.50/hr

Title: Senior DATABASE ARCHITECT Location : Chanhassen, MN Duration : 3 plus months Need only ... provided data requirements, including creating tables, indexes, views, triggers and storage ...

Data Analyst Senior

Bloomington, MN · On-site

$86.40K - $109K/yr

HealthPartners is hiring a Senior Data Analyst. POSITION PURPOSE: Our mission is to provide simple ... Understanding of data architecture and integration concepts

Senior Data Engineer

Minneapolis, MN · On-site

$111.50K - $139.40K/yr

Senior Data Engineer The Senior Data Engineer will play a foundational role in building and ... Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ...

Data Analyst Senior

Minneapolis, MN · On-site

$89.80K - $113.30K/yr

Senior Data Analyst HealthPartners is hiring a Senior Data Analyst. POSITION PURPOSE: Our mission ... Understanding of data architecture and integration concepts About Us At HealthPartners we believe ...

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Senior Data Architect information

See Minnesota salary details

$38

$73

$100

How much do senior data architect jobs pay per hour?

As of May 28, 2026, the average hourly pay for senior data architect in Minnesota is $73.83, according to ZipRecruiter salary data. Most workers in this role earn between $63.32 and $84.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Architect, and why are they important?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a Senior Data Architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What does a Senior Data Architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

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

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Minnesota? The most popular types of Data Architect jobs in Minnesota are:
What cities in Minnesota are hiring for Senior Data Architect jobs? Cities in Minnesota with the most Senior Data Architect job openings:
What are popular job titles related to Senior Data Architect jobs in MN? For Senior Data Architect jobs in MN, the most frequently searched job titles are:
Infographic showing various Senior Data Architect job openings in Minnesota as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 6% Part Time, 2% Temporary, and 3% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $153,573 per year, or $73.8 per hour.

Senior Data Architect

Diversity Nexus

Minneapolis, MN • On-site

$70.25 - $94/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Architect

Miniiapolis, MN OR Hartford, CT (Need only local candidates) (4 days onsite) A thought leader who can define and build out the components of a comprehensive data strategy and architecture with a strong focus on AI. This person should have deep expertise in modern data architecture patterns and the ability to articulate a clear, forward-looking vision. The Senior Data Architect delivers the data vision and strategy for the organization, as defined by the Chief Data Architect (or equivalent leadership). This role is responsible for the design, governance, and technical oversight of the enterprise data architecture, ensuring that data systems are scalable, secure, compliant, and aligned with core business needs.

Key Responsibilities

1. Data Architecture & Design

  • Data Modeling: Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms.
  • Data Flow: Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement between up- and downstream systems.
  • System Alignment: Collaborate closely with Application and Cloud Architects to ensure the organization's technical systems are designed to fully support the established data architecture standards.
  • Technology Selection: Develop product short-lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (e.g., Hadoop, Spark, Kafka), and database technologies (SQL/NoSQL).

2. Data Governance & Quality

  • Governance Frameworks: Evolve and define data governance policies, standards, and best practices across the organization.
  • Metadata Management: Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data.
  • Data Quality: Drive the standards for Data Quality across multiple datasets, ensuring consistency and data trust across the enterprise.
  • Compliance: Design data retention, upgrade, management, decommission, and archive strategies in compliance with data policies and regulatory standards (e.g., data privacy).

3. Technical Leadership & Mentorship

  • Oversight: Provide technical oversight, advice, and guidance to other Data Architects, Data Engineers, and development teams regarding data structures and associated components.
  • Standard Enforcement: Ensure project teams adhere to the corporate data standards and architectural principles set by data leadership.
  • Mentorship: Mentor and support colleagues in multi-disciplinary teams, promoting best practices in data architecture and design.

Required Skills and Experience

Technical

  • Advanced experience in designing and implementing data models (Star Schema, Snowflake, etc.).
  • Expertise in a wide variety of database technologies, including relational (SQL) and NoSQL platforms, and Big Data technologies.
  • Demonstrated ability to architect scalable, high-performance data warehousing and data lake solutions on major cloud platforms (e.g., AWS, Azure, GCP).
  • Strong understanding of ETL/ELT tools, data integration strategies, and advanced data processing techniques.

Professional

  • Communication: Excellent verbal and written communication skills with the ability to translate complex technical information and language into simple, accessible terms for non-technical stakeholders.
  • Leadership: Strong leadership skills with the proven ability to establish relationships, manage differing stakeholder perspectives, and drive technical direction across teams.
  • Strategic Thinking: A systematic, disciplined, and analytical approach to problem-solving, with an awareness of evolving business needs and technology capabilities.