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Data Mesh Jobs (NOW HIRING)

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 ...

Senior Data Architect

San Francisco, CA · On-site

$79.25 - $106/hr

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

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 ...

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 ...

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 ...

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 ...

Cloud Developer- Senior

$57.50 - $78.75/hr

The Senior Cloud Developer will design, implement, and maintain cloud-based infrastructure to support the CJIS Division's Data Mesh architecture, ensuring efficient, secure, and scalable data ...

Microsoft Databricks Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... Data Mesh principles) • Strong problem-solving, communication, and documentation skills Qualifications : Required : • 6 years experience • Hands-on experience with Databricks and core data ...

Data Architect

Mineral Springs, NC

$57.25 - $73.50/hr

Liderar la adopcion de patrones y frameworks de integracion de datos (ETL/ELT, Data Mesh, Event-Driven). * Colaborar con equipos de ingenieria, analitica y negocio para definir modelos de datos y ...

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Data Mesh information

See salary details

$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:
Director, Data Governance

Full-time

Posted 5 days ago


Deckers Brands rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

5th of 55 rated fashion and textile manufacturers


Job description

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.

Job Title:Director, Data Governance
Reports to:Chief Digital & Data Officer


Location: United States (Remote)

Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington

The Role

Step into a pivotal leadership role as Director, Data Governance, where you will shape the future of Deckers' data landscape. You'll develop, implement, and oversee enterprise-wide data governance, data quality, and data management policies, ensuring our data is accurate, secure, consistent, discoverable, and compliant. 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 business to make data-driven decisions with confidence and integrity.

We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.

Your Impact

  • Develop and maintain enterprise data governance strategies, frameworks, and policies aligned with business priorities, risk posture, and compliance obligations
  • Establish and operate governance structures that support domain ownership, data product stewardship, and data mesh enablement
  • Draft, publish, and maintain standards covering data quality, metadata management, privacy, security, access controls, classification, and retention
  • Partner with Legal, Privacy, Information Security, and Compliance teams to ensure governance policies align with regulatory requirements such as GDPR and CCPA
  • Define data quality metrics, thresholds, and monitoring approaches, driving accountability through transparent scorecards and remediation processes
  • Lead governance operationalization by embedding controls into delivery workflows and data product lifecycle processes
  • Partner with platform and engineering teams to implement governance capabilities into core data platforms, including cataloging, lineage tracking, and access governance
  • Build and lead a community of practice for data stewards and domain data owners, including training and ongoing enablement
  • Establish and run governance forums and decision-making processes to resolve data ownership, definition, quality, and access issues
  • Provide executive-level reporting on governance maturity, compliance posture, data quality health, and key risks
  • Lead and develop a governance team, setting objectives, coaching talent, and ensuring consistent delivery of governance outcomes

Who You Are

  • Bachelor's degree required, preferably in Information Systems, Business Administration, Law, or a related field; Master's degree preferred
  • Certifications in data governance or data management (CDMP, DAMA), privacy (CIPP/US, CIPT), or compliance are a plus
  • 10 to 15 years of experience in data governance, data management, data compliance, or a related field
  • 5+ years of leadership experience leading governance initiatives across complex, matrixed organizations
  • Experience working in regulated environments with a focus on data privacy, data protection, and regulatory compliance
  • Experience supporting modern data architecture initiatives including data mesh and cloud-native platforms preferred
  • Demonstrated experience building governance programs that include policy definition, stewardship models, data quality management, and tooling enablement
  • Strong knowledge of data governance frameworks, metadata management, and data quality practices
  • Familiarity with privacy regulations (GDPR, CCPA) and security frameworks and controls
  • Excellent leadership and communication skills with the ability to influence across business and technical audiences
  • Ability to translate regulatory and policy requirements into practical, actionable guidance for teams
  • Strong program management, organizational, and documentation skills
  • Proactive, detail-oriented, and able to work independently in a fast-paced environment
  • Comfortable working in a global, matrixed organization with multiple stakeholders and competing priorities

What We'll Give You -

  • Competitive Pay and Bonuses - We've created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they're valued.
  • Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
  • Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees' needs to get out, get healthy and come back stronger than ever.
  • Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
  • Growth and Development - Deckers Brands was built on the idea of pursuing passion. That's why we offer extensive opportunities and support for personal and professional development.
  • Health and Wellness - There's nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.
$154,700.00 - $208,800.00

The salary range posted reflects the estimated minimum and maximum target for new hire salaries for this role in:

Goleta, California (Remote)

Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process.

Equal Employment Opportunity
Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.


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