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Data Warehouse Project Manager Jobs (NOW HIRING)

Cordova

Data Warehouse Manager I

Omaha, NE · Hybrid

Data Warehouse Manager Employee Status: Direct Hire with Client Location: Omaha Ne. On-Site/Hybrid ... Software, database or project management certification or designation * Insurance coverages and ...

Infojini Inc

Data Warehouse Developer

Saint Paul, MN

$49.75 - $68.25/hr

Manage respective data warehouse to deployment including driving all related project tasks, objectives and milestones; Direct and guide data warehouse functionality decisions as they related to the ...

SA Technologies Inc.

Project Manager

Richardson, TX

Candidate must have Telecom data warehouse project management experience. Education/Experience: Bachelor degree in a technical field such as computer science, computer engineering or related field ...

Omni Inclusive

Data Warehouse Engineer

Santa Clara, CA · On-site

Collaborate with cross-functional teams to support data-related projects. Skills and Capabilities: Strong knowledge of data warehousing and data management. Excellent communication and interpersonal ...

Architect Search

Project Manager

Dallas, TX

Architectural Project Manager - Dallas, TX Industrial / Warehouse Projects Are you an experienced Architectural Project Manager looking to lead large-scale industrial and warehouse developments in ...

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Data Warehouse Project Manager information

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$25K

$125.9K

$171K

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

As of May 28, 2026, the average yearly pay for data warehouse project manager in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Warehouse Project Manager, and why are they important?

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 are Data Warehouse Project Managers?

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 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.

More about Data Warehouse Project Manager jobs
What cities are hiring for Data Warehouse Project Manager jobs? Cities with the most Data Warehouse Project Manager job openings:
What states have the most Data Warehouse Project Manager jobs? States with the most job openings for Data Warehouse Project Manager jobs include:
What job categories do people searching Data Warehouse Project Manager jobs look for? The top searched job categories for Data Warehouse Project Manager jobs are:
Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Part Time. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.
Data Scientist - c2c - Candidate must be local to Austin TX (Posted by Sid)

Data Scientist - c2c - Candidate must be local to Austin TX (Posted by Sid)

Global Force USA

Austin, TX

Other

Posted 9 days ago

Job description

  • Resource with strong skills in Data architecture and expertise in dimensional data modelling, preferably in a bigdata or an enterprise data warehouse environment.
  • Experience with Informatica Power Exchange for CDC based replication or similar tool is a plus.
  • Expertise in development of data ingestion to Hadoop based data lake (HDFS, Hive) and S3 storage, complex data transformations, and data security.
  • Programming expertise in a major programming/scripting language including but not limited to Java, C++, Scala, python, Go.
  • Hands on delivery capability working in a team across the full lifecycle Data Source Analysis, Design, Development, Testing and Implementation. This includes providing input into requirements, platform development, technical design of the project level technical architecture for ETL, big data application design and development, testing, and deployment of the proposed solution.
  • Proficient in Hadoop ecosystem components such as Hive, Yarn, Knox, Ranger, Sqoop, Oozie, HiveQL, Spark, SQL/data access.
  • Experience in ETL development using Informatica BDM, Kafka, or comparable software.
  • Understanding and skills in data governance, security architecture, load balancing and troubleshooting.
  • Well-versed and deep development experience in Big Data Platform clusters on AWS, HDFS storage optimization, Data Lake/Data Warehouse foundation capabilities.

The Data architect will work with a team of developers, analysts, project managers, and solution architects. It is expected that this person shall have a good understanding of Snowflake cloud data warehouse architectures including loading to dimensional data structures and ETL development for many types of data such as RDBMS sources, API/streaming, structured, and unstructured. Design, develop, support, optimize, and provide technical oversight on all phases of the development life cycle on data warehouse project engagements, including but not limited to participation in data sourcing, analysis, requirements gathering, design, development, testing, deployment, transition, and support. Help monitor and manage the technical scope on engagements to prevent scope creep and deviation from the contract. Follow good practices and project guidelines in all cases including the use of source code control, automated testing and deployment approaches, test-case-based development, and proper documentation practices.

  • 6+ years of Cloud Data Warehousing with specialization in Snowflake and Python is required
  • 1+ year of prior experience with State Agencies is preferred

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