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Data Mesh Jobs (NOW HIRING)

$125 - $150/hr

As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions ...

You will lead enterprise data architecture for a hybrid cloud data mesh platform supporting real-time air traffic management and next-generation aviation services. We are building with an AI-first ...

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 ...

You will lead enterprise data architecture for a hybrid cloud data mesh platform supporting real-time air traffic management and next-generation aviation services. We are building with an AI-first ...

Data-Mesh / Enterprise Architect

Piscataway, NJ · On-site

$70.25 - $87/hr

The role will oversee Salesforce CPQ, Revenue Cloud, Sales Cloud, Service Cloud, Experience Cloud, Agentforce, custom development, integrations, data architecture, security, DevOps, and platform ...

AWS Cloud Data Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

This role will focus on building modern Data Mesh architectures , developing scalable AWS-based data pipelines , implementing DevSecOps best practices, and integrating AI-powered solutions to ...

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 ...

Data Architect

Westwood, MA · On-site

$150 - $200/hr

Produceconceptual, logical, and physical data modelsaligned to business capabilities, modernization goals, and data mesh principles. * Design and implement data architecture patterns to ...

$150 - $200/hr

Produceconceptual, logical, and physical data modelsaligned to business capabilities, modernization goals, and data mesh principles. * Design and implement data architecture patterns to ...

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 ...

Showing results 41-60

Data Mesh information

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$46K

$165K

$243.5K

How much do data mesh jobs pay per year?

As of Sep 9, 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.

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 is a data mesh?

A data mesh is an architectural approach to managing data in large organizations by decentralizing data ownership and enabling domain teams to handle their own data products. It emphasizes data as a product, with clear responsibilities, and often involves tools like data catalogs and automation to ensure data quality and accessibility. Data engineers and architects working with distributed systems and scalable data platforms typically implement data mesh principles.

What cities are hiring for Data Mesh jobs?

Cities with the most Data Mesh job openings:

Infographic showing various Data Mesh job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer- Snowflake, CircleCI Exp

Chicago, IL • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

$118K - $141K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Data Engineer with expertise in Snowflake and CircleCI. The role focuses on building and maintaining data pipelines, database modeling, and CI/CD processes.
Responsibilities:
• Experience in following technologies - Snowflake, Python, Airflow, AWS, Kafka
• Experience building/ maintaining CICD using Bitbucket/Github, CircleCI/Github Actions
• Experience building Data pipelines, database modeling for OLAP, and data sharing for BI use cases
• Good to have experience in designing, building data mesh architecture
Qualifications:
Required:
• Experience in following technologies - Snowflake, Python, Airflow, AWS, Kafka
• Experience building/ maintaining CICD using Bitbucket/Github, CircleCI/Github Actions
• Experience building Data pipelines, database modeling for OLAP, and data sharing for BI use cases
Preferred:
• Retail domain
• Good to have experience in designing, building data mesh architecture
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.