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Master Data Manager Jobs in Riverside, CA (NOW HIRING)

IEHP

Data Governance Analyst

Rancho Cucamonga, CA · On-site

... and master data management concepts • Familiarity with healthcare data standards (e.g., HL7, ICD-10, CPT) and regulatory frameworks (e.g., HIPAA, CMS) • Strong analysis and critical thinking ...

Corvel

Data Science Manager

Irvine, CA · Remote

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems ...

Edwards Lifesciences

Data Governance Architect

Irvine, CA · On-site

$68.50 - $88/hr

Knowledge of data quality, metadata management, lineage, master data management, and data governance practices. * Experience supporting cloud-based data platforms and enterprise data ecosystems.

New

Navtech, Inc.

SAP MDG Solution Architect

Irvine, CA · On-site

$88.25 - $119/hr

Experience with master data management processes and technology. Experience in MDG on S/4 HANA will be an added advantage. * Experience with SAP MDG configuration (includes Data Model, BRF Plus, and ...

Eldorado CA

Master Scheduler

Riverside, CA · On-site

$95K - $110K/yr

... establishes the data discipline required to support a successful ERP environment. The ideal ... Own and manage the master production schedule, aligning demand forecasts, capacity, materials, and ...

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Showing results 21-40

All JobsMaster Data JobsMaster Data Manager JobsMaster Data Manager Jobs in Riverside, CA

Master Data Manager information

See Riverside, CA salary details

$32.3K

$101.3K

$179.4K

How much do master data manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for master data manager in Riverside, CA is $101,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $130,900.00 per year, depending on experience, location, and employer.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

What are the most commonly searched types of Master Data jobs in Riverside, CA?

The most popular types of Master Data jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Master Data Manager jobs?

Cities near Riverside, CA with the most Master Data Manager job openings:

Master Data Manager jobs near you
Infographic showing various Master Data Manager job openings in Riverside, CA as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $101,348 per year, or $48.7 per hour.

10607 - Senior Data Engineer (Python)

Hyundai Autoever America

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Medical, Dental, PTO

Posted 10 days ago

Job description

10607 - Senior Data Engineer
Location: Irvine, CA
Company Overview
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations.
If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation.
Website: http://www.haeaus.com
Role Overview:
We are seeking a motivated and detail-oriented Senior Data Engineer to join our growing data engineering team. The ideal candidate will have strong experience in Python-based data engineering, workflow orchestration using Apache Airflow, and building scalable data solutions using Lakehouse and Medallion Architecture (Bronze, Silver, Gold) principles.
In this role, you will collaborate with data scientists, analysts, architects, and business stakeholders to design, develop, and optimize modern data pipelines that support analytics, reporting, and advanced data-driven initiatives. The successful candidate will have hands-on expertise in data ingestion, transformation, data quality, automation, and cloud-based data platforms.
Key Responsibilities
  • Design, develop, and maintain scalable and reliable Python-based data pipelines for ingesting, processing, and transforming large volumes of data.
  • Build and manage data workflows using Apache Airflow, including scheduling, monitoring, alerting, and troubleshooting production jobs.
  • Implement and support Medallion Architecture (Bronze, Silver, Gold) data layers to enable efficient data processing, governance, and analytical consumption.
  • Develop robust ETL/ELT solutions to ingest data from databases, APIs, flat files, streaming sources, and third-party systems into enterprise data platforms.
  • Create reusable Python frameworks and libraries to standardize data ingestion, transformation, validation, and monitoring processes.
  • Apply data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of data assets.
  • Optimize data pipelines for performance, scalability, fault tolerance, and cost efficiency.
  • Manage production data workloads, perform root cause analysis, and implement performance tuning strategies.
  • Design and maintain data models that align with business requirements and support analytics, reporting, and machine learning use cases.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Develop automation solutions for operational processes, deployment activities, and data quality monitoring.
  • Implement CI/CD best practices for data engineering workflows, including version control, testing, and automated deployments.
  • Create and maintain monitoring dashboards, alerts, and operational metrics for data pipeline health and performance.
  • Ensure adherence to data governance, security, compliance, and metadata management standards.
  • Document data architecture, pipeline designs, transformation logic, and operational procedures.
  • Support the implementation of master data management, reference data management, and enterprise data integration initiatives as needed.
  • Contribute to the continuous improvement of data engineering best practices, coding standards, and architectural frameworks.
Basic Qualifications
  • 7+ years of experience in data warehouse or MDM applications.
  • Bachelor's degree in computer science, Information Technology, or related field.
  • Extensive knowledge of SQL and experience with relational databases.
  • Strong programming and scripting skills, including Python and PL/SQL.
  • Hands-on experience developing ETL/ELT data pipelines and supporting production data workloads.
Preferred Qualifications
  • Experience implementing Lakehouse architectures and Bronze/Silver/Gold (Medallion) data models.
  • Experience with cloud-based data platforms such as Azure Data Lake, AWS, or GCP.
  • Familiarity with Spark/PySpark and distributed data processing frameworks.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Experience designing reusable frameworks for data ingestion, transformation, validation, and monitoring.
  • Familiarity with data governance, security, compliance, metadata management, master data management, or reference data management standards.

Salary range: $96,550 - $138,061
In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, educationassistance, and annual meritincreaseeligibility in a growth-focused work environment.
Team Culture:
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
  • Passion for Technology:We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
  • Agility:We work in an agile environment, adapting quickly to changes and continuously improving our processes.
  • Teamwork:We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
  • Growth:We prioritize personal and professional growth, offering opportunities for learning and development.
  • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.
Our Company adheres to the equal employment opportunity guidelines set forth by federal,stateand local laws.The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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