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Data Mesh Jobs (NOW HIRING)

No Limit Technology

Data Modeler

Richmond, VA

$53.50 - $69.50/hr

Data products modeling within data mesh architecture \n * Hands\-on experience leading the design and implementation of technical data models and data products within the data mesh architecture \n

Sarian, Inc.

Starburst Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Starburst Data Engineer, Starburst Presto, Data Mesh using Starburst, SQL, cloud services and APIs. * Experience: Minimum 6 years. Roles & Responsibilities: Experience in sufficient to perform the ...

Nastech Global

Starburst Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Starburst Data Engineer, Starburst Presto, Data Mesh using Starburst, SQL, cloud services, and APIs. * Experience: Minimum 6 years. * Experience with Query Federation solutions-Starburst Presto ...

Oura

Senior Data Architect

San Francisco, CA

$79.25 - $106/hr

Data Mesh Governance: Implement federated data governance within the data mesh to ensure processes meet privacy, compliance (HIPAA/PHI), and security requirements. * Collaborate: Partner with Data ...

Ōura

Senior Data Architect

San Francisco, CA · On-site +1

$79.25 - $106/hr

Data Mesh Governance: Implement federated data governance within the data mesh to ensure processes meet privacy, compliance (HIPAA/PHI), and security requirements. * Collaborate: Partner with Data ...

Nastech Global

Data Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Data risk management and data life cycle management • Experience with scalable data mesh architectures on Azure * Azure Data Factory * Databricks • Strong analytical skills using software tools ...

Prophecy Technologies

Data Architect

Jersey City, NJ · On-site

$130/hr

... mesh architectures on Azure Azure Data Factory Databricks • Strong analytical skills using software tools and reporting techniques • Familiarity with regulatory frameworks: FATF, FINTRAC, OFAC ...

Risepoint

OR · On-site

You will also help enable a data mesh-oriented approach by supporting domain-aligned data ownership and empowering teams to deliver high-quality, trusted data products at scale. How You Will Bring ...

Programmers.io

Data Architect with AWS

Torrance, CA · On-site

$66.50 - $85.50/hr

Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making. · AI Ethics & Security: Establish ...

Risepoint

Director of Products - Data & Engineering

You will also help enable a data mesh-oriented approach by supporting domain-aligned data ownership and empowering teams to deliver high-quality, trusted data products at scale. How You Will Bring ...

Oura

Director, Data Analytics

San Francisco, CA · On-site

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 ...

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Data Mesh information

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$46K

$165K

$243.5K

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 Modeler

No Limit Technology

Richmond, VA

$53.50 - $69.50/hr

Full-time

Posted 11 days ago

Job description

\n <\/head>\n \n

Job Description\/Summary: Data Modeler<\/span><\/span><\/b><\/span><\/span><\/b>
<\/span><\/span><\/span><\/span><\/span><\/p>

Client is building a Common Data Platform ("CDP"), a cloud\-based, end\-to\-end data management and analytics platform. The CDP program needs consulting services with skills to increase delivery capacity.
<\/span><\/span><\/span><\/span><\/span><\/p>

Description:<\/span><\/b><\/span>
<\/span><\/span><\/span><\/span><\/p>\n

\n Provide one (1) data modeler resource who will integrate into the CDP Program Teams solutions delivery team. These data modelers resources will assist in building and migrating data assets into a new AWS technology stack using Immuta, Starburst, Collibra, Databricks, Alteryx, and Tableau. Required <\/span><\/span>
\n <\/div>\n
\n
\n <\/div>\n
\n Qualifications<\/b> <\/span><\/span>
\n <\/div>\n
    \n
  • Data products modeling within data mesh architecture <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on experience leading the design and implementation of technical data models and data products within the data mesh architecture <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on data engineering experience with Databricks and Spark <\/span><\/span>
    <\/span><\/li>\n
  • Hands\-on experience in design, implementation and optimization of technical Data Pipelines <\/span>
    <\/span><\/span><\/span><\/li>\n
  • Hands\-on experience in design, implementation and management of the technical Data Products lifecycle<\/span><\/span>
    <\/span><\/li>\n
  • Proficiency in SQL and Python<\/span>
    <\/span><\/span><\/span><\/li>\n <\/ul>

    Key Activities <\/span>
    <\/span><\/span><\/span><\/span><\/span><\/p>\n

      \n
    • Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain\-driven design, data as a product, and federated data governance <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Implement data validation rules and data quality checks to ensure data integrity and consistency <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Data Mesh Data Modeler with Databricks Expertise<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks <\/span>
      <\/span><\/span><\/span><\/li>\n
    • Lead the design and implementation of data models and data products within the Data Mesh Architecture<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Design, implement and optimize Data Pipelines<\/span>
      <\/span><\/span><\/span><\/li>\n
    • Design, implement and manage the lifecycle of Data Products<\/span><\/span><\/span>
      <\/li>\n <\/ul>\n
      \n
      \n <\/div><\/span>
      \n <\/body>\n<\/html>

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