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Senior Data Manager Jobs in California (NOW HIRING)

Senior Data Architect, Legal Operations

Cupertino, CA · On-site

$83 - $111/hr

The Principal Data Architect leads the Data Management Office (DMO) and owns the data architecture vision that makes AI accurate and analytics reliable. Description The Senior Data Architect owns the ...

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Data Management & Quality Partner with IT teams to improve data pipelines, definitions, integrity ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Must be an effective communicator to peers and upper management * Deep experience in hypothesis ...

Sr Data Engineering Manager

Campbell, CA · On-site

$220 - $245/hr

Sr Data Engineering Manager This position is based in our Campbell, California offices. This position is on-site, full-time. Why Imperative Care? Do you want to make a real impact on patients? As ...

Sr Data Engineering Manager

Campbell, CA · On-site

$77.50 - $103.75/hr

Title: Sr Data Engineering Manager This position is based in our Campbell, California offices. This position is on-site, full-time. Why Imperative Care? Do you want to make a real impact on patients?

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Wilshire Law Firm is a distinguished, award-winning legal practice with over 18 ... Validate andmaintainattribution accuracy across CRM,MarTechsystemsand tracking infrastructure.

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Must be an effective communicator to peers and upper management * Deep experience in hypothesis ...

Senior Data Analytics Developer

La Mirada, CA · On-site

$109.57 - $146.10/hr

## Senior Data Analytics DeveloperApplylocations: La Mirada, CA - Corporatetime type: Full timeposted ... They should also have proven experience in managing workflows from architecture to delivery in an ...

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Wilshire Law Firm is a distinguished, award-winning legal practice with over 18 ... Validate andmaintainattribution accuracy across CRM,MarTechsystemsand tracking infrastructure.

Sr Data Engineering Manager

Campbell, CA · On-site

$77.50 - $103.75/hr

Title: Sr Data Engineering Manager This position is based in our Campbell, California offices. This position is on-site, full-time. Why Imperative Care? Do you want to make a real impact on patients?

Showing results 41-60

Senior Data Manager information

See California salary details

$78K

$121.4K

$182.1K

How much do senior data manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior data manager in California is $121,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

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

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

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

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL and data visualization software to support decision-making. This role typically requires strong leadership skills and experience in data governance and analytics.

What are popular job titles related to Senior Data Manager jobs in California?

For Senior Data Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Data Manager jobs in California look for?

The top searched job categories for Senior Data Manager jobs in California are:

What cities in California are hiring for Senior Data Manager jobs?

Cities in California with the most Senior Data Manager job openings:

Infographic showing various Senior Data Manager job openings in California as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,444 per year, or $58.4 per hour.

$75 - $95/hr

Full-time

Posted 10 days ago


Job description

Sr Data Engineer

Glendale, California, United States

$ 75.00 - 95.00 (US Dollar)

About the job Sr Data Engineer

Job Title: Sr Data Engineer

Location: Glendale, CA Onsite 3-4 days a week

The Company

Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to its global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology.

Platform / Stack

You will work with technologies that include Python, AWS, Snowflake, Databricks, and Airflow.

Compensation Expectation: $75 95/hr W2

What You'll Do As a Sr Data Engineer:

  • Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
  • Build and maintain APIs to expose data to downstream applications
  • Develop real-time streaming data pipelines
  • Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
  • Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
  • Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
  • Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

Qualifications:

You could be a great fit if you have:

  • 7+ years of data engineering experience developing large data pipelines
  • Proficiency in at least one major programming language (e.g. Python, Java, Scala)
  • Hands-on production environment experience with distributed processing systems such as Spark
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
  • Experience in developing APIs with GraphQL
  • Advance understanding of OLTP vs OLAP environments
  • Graph Database experience a plus
  • Realtime Event Streaming experience a plus

We require that a background check be completed. A background check is required to protect our company/client and its stakeholders by ensuring that we hire individuals with a trustworthy history, which helps maintain a safe and secure workplace. This proactive measure minimizes potential risks and promotes a culture of integrity within the organization.