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Data Mesh Jobs (NOW HIRING)

Artius Solutions

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Collaborate within a data mesh / modern analytics environment * Support Master Data Management (MDM) initiatives and governance maturity * Define governance KPIs related to data quality ...

Ōura

Director, Data Analytics

San Francisco, CA · On-site +1

Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. * Establish ...

AllSTEM Connections

Database Modeler

San Francisco, CA · On-site

$235K/yr

This role is pivotal in designing and implementing scalable, efficient data models within a modern Data Mesh architecture. You will act as a bridge between business needs and technical execution ...

Judge Group, Inc.

Cloud Data Architect

Minneapolis, MN

$170K - $175K/yr

Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation Implement retrieval-augmented generation (RAG) pipelines with memory, context management ...

Hp

Principal Data Architect

Spring, TX · On-site

Determine architectural patterns (e.g., medallion architecture, data mesh, data fabric) * Establish data standards and automated interoperability rules Data Architecture & Platform Leadership

CYNET SYSTEMS

Data Architect and Modeler

Alpharetta, GA · On-site

$75/hr

Experience with Domain Driven Design (DDD), Data Mesh, Microservices Architecture, and Bounded Contexts. * Experience designing and maintaining enterprise Data Catalog solutions. * Experience with ...

FreshDirect

Sr. GCP Cloud Data Architect

Woodbridge, NJ

$68 - $90.75/hr

Position Summary As a Senior GCP Cloud Data Architect - BigQuery, AI, Data Governance & Mesh , you will lead the design, architecture, and implementation of FreshDirect's cloud-native data platform.

FreshDirect

Sr. GCP Cloud Data Architect

Woodbridge, NJ · On-site

$135K - $159K/yr

Position Summary As a Senior GCP Cloud Data Architect - BigQuery, AI, Data Governance & Mesh , you will lead the design, architecture, and implementation of FreshDirect's cloud-native data platform.

Deckers

Director, Data Governance

New York, NY · Remote

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Deckers

Director, Data Governance

Washington, DC · Remote

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Deckers

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Deckers

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Deckers

Director, Data Governance

California, MD · Remote

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Deckers

Director, Data Governance

OR · Remote

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

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Data Mesh information

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$46K

$165K

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How much do data mesh jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data mesh in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Mesh Architect, you need expertise in data engineering, distributed systems, and data governance, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), data pipeline tools (such as Apache Kafka or Spark), and experience implementing data governance frameworks are typically required. Strong collaboration, problem-solving, and communication skills help drive organizational change and enable effective cross-functional teamwork. These skills are crucial for successfully designing and implementing scalable, decentralized data architectures that empower business domains and ensure data quality.

What is the highest paying job in data?

In the data field, roles such as Chief Data Officer, Data Architect, and Machine Learning Director tend to be the highest paying, often earning six-figure salaries. These positions require advanced skills in data management, analytics, and leadership, and typically involve overseeing data strategy and infrastructure at an organizational level.

What is a Data Mesh?

A Data Mesh is a decentralized approach to data architecture and organizational design that treats data as a product and assigns ownership of data to cross-functional teams. Instead of centralizing all data management in a single team, Data Mesh distributes responsibility across various business domains, enabling them to manage, govern, and serve their data independently. This approach aims to improve scalability, agility, and data quality within large, complex organizations. Data Mesh also emphasizes self-serve data infrastructure and strong data governance practices.

Is data mesh obsolete?

Data mesh is an emerging architectural approach that decentralizes data ownership and promotes domain-oriented data management. While it is gaining popularity, it is not considered obsolete; organizations continue to adopt and adapt data mesh principles alongside other data architecture strategies. Job roles related to data mesh often require knowledge of data governance, distributed systems, and modern data tools.

What are the 4 pillars of data mesh?

The four pillars of data mesh are domain-oriented decentralized data ownership, data as a product, self-serve data infrastructure, and federated computational governance. These principles enable scalable, flexible, and reliable data management within organizations, often requiring data engineers and architects to implement and maintain the architecture effectively.

What skills are needed for data mesh?

Data Mesh professionals need strong data management skills, including understanding data architecture, domain-oriented design, and data governance. They should be proficient in cloud platforms, data modeling, and tools like SQL, Python, or Spark. Additionally, skills in collaboration, communication, and agile methodologies are important for implementing decentralized data ownership.

How do Data Mesh teams typically collaborate with domain experts and other departments within an organization?

In a Data Mesh framework, teams work closely with domain experts and cross-functional departments to ensure data products are tailored to specific business needs. Collaboration often involves regular meetings, shared documentation, and agile practices to align data standards, quality, and access. This decentralized approach encourages ownership within domains, but also requires robust communication and governance to maintain consistency across the organization. Effective teamwork helps bridge technical and business perspectives, leading to more valuable and usable data solutions.

What is the difference between Data Mesh vs Data Engineer?

AspectData MeshData Engineer
Primary FocusDecentralized data architecture and domain-oriented data ownershipBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsData architecture, domain knowledge, cloud platforms, data governanceSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCross-functional teams, collaborative data product developmentData engineering teams, cloud environments, data warehouses
Industry UsageModern data architectures, data-driven organizationsData infrastructure, analytics, machine learning projects

While Data Mesh emphasizes a decentralized approach to data architecture and domain ownership, Data Engineers focus on building and maintaining the data pipelines and infrastructure. Both roles are essential in modern data ecosystems, with Data Mesh promoting data democratization and Data Engineers ensuring data quality and accessibility.

What cities are hiring for Data Mesh jobs? Cities with the most Data Mesh job openings:

Data Governance Lead

Artius Solutions

Minneapolis, MN • On-site

$105 - $112/hr

Full-time

Posted 16 days ago

Job description

Job Title: Data Governance Lead

Location: Minneapolis, MN

Job Summary

We are seeking a hands-on Data Governance Lead to help define and implement an enterprise-wide data governance framework. This role will focus on governance strategy, Microsoft Purview implementation, data stewardship, policy creation, and collaboration across Finance, IT, and business teams.

This is a player/coach role ideal for someone who enjoys both strategy and hands-on execution in a modern data environment.

Key Responsibilities

  • Lead the implementation of Microsoft Purview as the enterprise data governance platform

  • Define data governance policies, standards, and ownership models

  • Partner with Finance, IT, and business stakeholders to operationalize governance processes

  • Support governance initiatives across Finance, HR, Operations, and other business domains

  • Collaborate within a data mesh / modern analytics environment

  • Support Master Data Management (MDM) initiatives and governance maturity

  • Define governance KPIs related to data quality, accessibility, and compliance

  • Serve as a bridge between technical and business teams

Required Skills

  • Strong experience with Data Governance programs and frameworks

  • Hands-on experience with Microsoft Purview

  • Knowledge of Data Mesh, Data Fabric, or modern analytics architectures

  • Experience with data stewardship, metadata management, and policy creation

  • Strong communication and stakeholder management skills

  • Experience working with cross-functional business and technical teams

  • Familiarity with MDM and enterprise BI environments

Preferred Skills

  • Experience with Microsoft Fabric (nice to have)

  • Experience building governance functions from the ground up

  • Leadership experience in enterprise data environments

Ideal Candidate

  • Hands-on and proactive

  • Comfortable working independently initially

  • Strong strategic and execution mindset

  • Able to influence business and technical stakeholders across teams

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