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Data Warehouse Project Manager Jobs in California

RightStone

Warehouse Project Specialist

La Palma, CA · On-site

$19.92/hr

We are seeking a Warehouse Project Specialist to join a growing team in La Palma, CA with $19.92 ... This role involves reboxing files, indexing, and basic data entry in an office setting. It is a ...

Jobsbridge

Lead ETL QA (Informatica)

San Ramon, CA

... management tool like Client ALM Experience with conducting and running defect triage meeting with project teams Experience with implementation of test automation for data warehouse testing (nice to ...

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Data Warehouse Project Manager information

See California salary details

$11.4K

$114.7K

$180K

How much do data warehouse project manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data warehouse project manager in California is $114,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $156,600.00 per year, depending on experience, location, and employer.

What is a data warehouse project manager?

Data Warehouse Project Managers are professionals responsible for overseeing the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data engineers, analysts, and stakeholders to ensure that data storage, integration, and reporting solutions are implemented on time and within budget. Their role involves managing project timelines, resources, risks, and communication, as well as ensuring that the data warehouse meets business requirements. They also play a crucial part in aligning technical solutions with organizational goals and regulatory standards.

What are the key skills and qualifications needed to thrive as a data warehouse project manager?

To thrive as a Data Warehouse Project Manager, you need strong project management skills, a background in data warehousing concepts, and experience with data modeling, ETL processes, and database systems. Familiarity with tools like Microsoft Project, Jira, SQL, and data integration platforms, as well as certifications such as PMP or Agile, are typically required. Excellent communication, leadership, and problem-solving skills help facilitate collaboration among technical and business stakeholders. These abilities ensure projects are delivered on time, within scope, and aligned with organizational data strategy.

What are the main challenges faced by a data warehouse project manager when coordinating between business stakeholders and technical teams?

A significant challenge for Data Warehouse Project Managers is bridging the gap between business stakeholders, who focus on data-driven insights, and technical teams, who handle complex architectures and data integration. Ensuring clear communication around requirements, timelines, and deliverables is essential, as misalignment can lead to project delays or unmet objectives. Successful managers facilitate regular meetings, translate business needs into technical specifications, and proactively address roadblocks to keep everyone aligned throughout the project lifecycle.

What is the difference between Data Warehouse Project Manager vs Data Analyst?

AspectData Warehouse Project ManagerData Analyst
Required CredentialsBachelor's in IT, Business, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires SQL, Excel, and data visualization skills
Work EnvironmentLeads projects, manages teams, coordinates between stakeholders in data warehousing projectsAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data infrastructure, IT departments, data-driven companiesCommon across industries for business insights, marketing, finance, and operations

The Data Warehouse Project Manager focuses on overseeing data warehousing projects, managing teams, and ensuring project delivery. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions. Both roles require strong analytical skills, but their responsibilities and focus differ significantly.

Is data warehouse a good career?

A Data Warehouse Project Manager plays a key role in overseeing data integration and storage projects, requiring skills in database management, SQL, and project coordination. The field offers strong job growth, competitive salaries, and opportunities to work with advanced analytics tools, making it a viable career choice for those interested in data management and technology. Continuous learning and certifications can enhance career prospects in this field.

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

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

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

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

What cities in California are hiring for Data Warehouse Project Manager jobs?

Cities in California with the most Data Warehouse Project Manager job openings:

Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $114,662 per year, or $55.1 per hour.

Sr. Project Manager

Avani Technology Solutions, Inc.

Orange, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Position : Sr. Project Manager
Location : Orange County, CA
Duration : 6 Months
Note from Client : Sr. PM with heavy project focus on: Reporting Analytics, ETL, Data Collection, BI/Data warehouse, AGILE
Job Description:
  • Bachelor's degree in Business, Statistics, Computer Science, Information Systems, or other related technical or project management related major.
  • 5+ years of direct experience defining and managing multi-team, multi-location projects related to analytics, software development or technical development and their deliverables with a proven track record of managing them successfully.
  • Knowledge of agile project management techniques and best practices.
  • Able to generate, explain, and present detailed schedules, milestone objectives, status reports, and other documentation clearly and accurately.
  • Proficiency in multiple software tools to manage projects and facilitate related communication, including and not limited to Excel, Bug Tracking Programs (i.e. TestTrack Pro, JIRA, Bugzilla), Word, MS Project, PPM system, Visio, PowerPoint, Power BI visualization tool a plus.

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