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Senior Data Governance Analyst Jobs in Riverside, CA

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

The Senior Data Quality Engineering Analyst role will be responsible to take up lead level activities - participating in requirement understanding, test planning, review of test execution result, The ...

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support ... Leverages Ataccama ONE for governance, data quality monitoring, and metadata management

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leverages Ataccama ONE for governance, data quality monitoring, and metadata management ... Strong analytical and problem-solving abilities * High attention to detail and data accuracy

The Senior Data Quality Engineering Analyst role will be responsible to take up lead level activities - participating in requirement understanding, test planning, review of test execution result, The ...

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Ensure data governance, security, compliance, and access controls across cloud environments ... Excellent analytical, debugging, and problem-solving skills. Required Technical Skills: * Cloud:

Showing results 21-40

Senior Data Governance Analyst information

See Riverside, CA salary details

$22

$57

$89

How much do senior data governance analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for senior data governance analyst in Riverside, CA is $57.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $69.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data governance analyst, and why are they important?

To thrive as a Senior Data Governance Analyst, you need expertise in data management, data quality, and regulatory compliance, often supported by a bachelor's degree in information systems or a related field. Proficiency with data governance tools (such as Collibra or Informatica), metadata management systems, and experience with data privacy frameworks is typically required. Strong communication, analytical thinking, and stakeholder management skills help you collaborate across business units and translate data policies into actionable processes. These skills ensure the organization’s data assets are controlled, secure, and leveraged effectively to support business goals and regulatory requirements.

How does a senior data governance analyst typically collaborate with other departments to ensure data quality and compliance?

A Senior Data Governance Analyst works closely with stakeholders across departments such as IT, legal, compliance, and business units to establish and enforce data management policies. This collaboration involves facilitating workshops, leading data stewardship meetings, and serving as a liaison to address data-related concerns. By partnering with diverse teams, the analyst ensures data is accurate, secure, and aligned with regulatory requirements. This cross-functional approach not only supports compliance but also drives consistent data usage and quality throughout the organization.

What is a senior data governance analyst?

Senior Data Governance Analysts are experienced professionals responsible for establishing and maintaining data governance frameworks within an organization. They ensure that data is accurate, consistent, secure, and used ethically across departments. Their duties often include developing data policies, overseeing data quality initiatives, managing data access controls, and ensuring compliance with relevant regulations. They also collaborate with IT, compliance, and business teams to align data strategies with organizational goals. Senior Data Governance Analysts play a key role in driving data-driven decision-making and minimizing risks related to data management.

What are popular job titles related to Senior Data Governance Analyst jobs in Riverside, CA?

For Senior Data Governance Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Senior Data Governance Analyst jobs in Riverside, CA look for?

The top searched job categories for Senior Data Governance Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Senior Data Governance Analyst jobs?

Cities near Riverside, CA with the most Senior Data Governance Analyst job openings:

Infographic showing various Senior Data Governance Analyst job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,869 per year, or $57.1 per hour.

10607 - Senior Data Engineer (Python)

Hyundai Autoever America

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Medical, Dental, PTO

Posted 8 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.