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Data Warehouse Project Manager Jobs in Reston, VA

USM

Project Manager with Healthcare Exp

Washington, DC · On-site

$111K - $131K/yr

This position is for a Project Manager assignment for the 2017 Care Coordination Program to help manage a large infrastructure data warehouse project. This project manager will manage specific ...

Virtru

Data Warehouse Technical Architect

Washington, DC · On-site

$180K - $210K/yr

You will partner closely with Engineering Managers and other technical architects to provide ... Work collaboratively in a fast-paced environment touching a variety of projects and products

Intrepidgs

Data Warehousing Administrator

Mclean, VA · On-site

Manage user accounts and access control * 2 years of experience managing a data warehouse for a sizable team * Experience in managing access control for a complex team * Experience in at least one ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Manage user accounts and access control * 2 years of experience managing a data warehouse for a sizable team * Experience in managing access control for a complex team * Experience in at least one ...

Anveta

Technical Project Manager

Washington, DC · Hybrid

Manage project scope, milestones, timelines, budgets, reporting, and documentation for data architecture, data warehousing, and healthcare data initiatives. * Work across business, engineering, and ...

Resource Point LLC

Ab-Initio Developer

Reston, VA · On-site

... management (Relational and NoSQL, distributed and converged) with emphasis on reliability ... data integration, data warehouse project experience. NoSQL/MongoDB, AWS experience is highly ...

NFF Inc

Senior Project Manager

Washington, DC · On-site +1

$115K - $140K/yr

Lead and manage conversion, data warehouse and middleware re-platforming projects. * Lead a team of developers in the design, development, and implementation of conversions, data warehouses and ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA · On-site

$140K - $180K/yr

We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to ... management tools such as Apache Airflow, Luigi, or AWS Step Functions. * Experience designing data ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA

$140K - $180K/yr

Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with ... management tools such as Apache Airflow, Luigi, or AWS Step Functions. * Experience designing data ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA · On-site +1

$140K - $180K/yr

Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with ... management tools such as Apache Airflow, Luigi, or AWS Step Functions. * Experience designing data ...

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All JobsData Warehouse Project Manager JobsData Warehouse Project Manager Jobs in Reston, VA

Data Warehouse Project Manager information

See Reston, VA salary details

$26K

$130.9K

$177.9K

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

As of Jun 18, 2026, the average yearly pay for data warehouse project manager in Reston, VA is $130,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a data warehouse manager do?

A data warehouse manager oversees the design, development, and maintenance of data warehouse systems that store and organize large volumes of data for analysis. They coordinate data integration, ensure data quality, and work with teams to implement data management best practices, often using tools like SQL, ETL processes, and data modeling. Strong project management and communication skills are essential for successful data warehouse operations.

What is the difference between ETL and DWH?

A Data Warehouse (DWH) is a centralized repository that stores integrated data from multiple sources for analysis and reporting. ETL (Extract, Transform, Load) is the process used to extract data from source systems, transform it into a suitable format, and load it into the data warehouse. Data Warehouse Project Managers oversee these processes to ensure data quality, consistency, and timely delivery for business intelligence needs.

What is L1 L2 L3 data warehouse?

In the context of a Data Warehouse Project Manager role, L1, L2, and L3 typically refer to different levels of data support or troubleshooting. L1 is the first line of support handling basic issues, L2 involves more complex problem resolution, and L3 addresses advanced or specialized technical problems, often requiring in-depth knowledge of data architecture and tools like ETL processes and SQL. Understanding these levels helps in managing data workflows and ensuring data quality and availability across the warehouse environment.

Can I make 100k as a project manager?

Data Warehouse Project Managers can earn $100,000 or more annually, especially with experience, certifications, and managing large or complex projects. Salaries vary based on industry, location, and company size, with senior roles and those in high-demand markets often exceeding this figure.

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.

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 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 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 popular job titles related to Data Warehouse Project Manager jobs in Reston, VA? For Data Warehouse Project Manager jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Project Manager jobs in Reston, VA look for? The top searched job categories for Data Warehouse Project Manager jobs in Reston, VA are:
Data Warehouse Project Manager jobs near you

Data warehouse Architect

Donan Consulting

Washington, DC

Full-time

Posted 6 days ago

Job description

THE OVERALL PURPOSE OF POSITION:

  • The Data warehouse Architect will spearhead the design and development of a new, high performance enterprise data warehouse for the organization, using industry best practices and data modeling techniques.

SCOPE OF WORK

  • The position’s SCOPE OF WORK include the following:

  • Collaborate with important stakeholders, including division-based data stewards as well as technical system owners to establish an understanding of the organization’s vast processes and data.

  • Design and implement an efficient and adaptable data model to support data exploration, data science, analytics, and GIS, resulting in insights to inform key business decisions.

  • Actively participate in process improvement initiatives and in setting best practice standards around Data Architecture, Metadata, Governance, Master Data Management, and Data Quality flows.

  • Proactively investigate opportunities to increase the value of the data to the business while focusing on projects that improve business processes.

  • Designs, builds and maintains flexible and scalable data warehouse solutions to support Business Intelligence (BI) and Reporting projects.

  • Provides expertise in the creation and refinement of agile technical stories for data architecture and development.

  • Serves as Subject Matter Expert in data warehouse concepts (Kimball, Inmon, star schema, snowflake schemas, and normalized and de-normalized data models).

  • Helps to develop, implement, and maintain appropriate data governance on the data warehouse and associated metadata for purposes of data quality, integrity, availability, and security.

  • Proactively monitors and analyzes performance to identify and recommend optimizations.

  • Coordinates with team members and leads the implementation of Master Data Management, in conjunction with the new data warehouse.

  • Leads the integration of the data warehouse with a modern, leading business intelligence platform.

QUALIFICATION AND EXPERIENCE:

  • Bachelor’s degree (master’s degree preferred) and relevant technical training and relevant technical training and certifications.

  • Five (5) to Seven (7) years of directly related experience.

  • One (1) to Two (2) years of business leadership experience.

  • Five (5) or more years of recent Data Warehouse Architecture experience to build and articulate conceptual, logical and physical dimensional data models and third normal form artifacts.

  • Five (5) or more years of experience with business intelligence technologies and solutions.

  • Five (5) or more years of experience leading teams on IT initiatives, particularly those related to big data.

  • Two (2) or more years of experience with leading data quality tools.

CORE COMPETENCIES

  • Forward Thinking: The ability to anticipate the implications and consequences of situations and take appropriate action to be prepared for possible contingencies.

  • Thinks Critically: The ability to approach one’s work analytically by identifying issues/questions, gathering and evaluating data, and creating evidence-based recommendations or solutions.

  • Embrace Innovation & Change: The ability to respond positively to change and demonstrate flexibility, and openness to new ways of thinking and doing things.

  • Communicate Openly & Effectively: The ability to effectively communicate in multiple modes and in a way that fosters understanding and dialogue, as well as engages with others in a way that demonstrates emotional intelligence.

  • Performance Focused: The ability to take ownership for one’s own or one’s employees’ performance, by setting clear goals and expectations, tracking progress against the goals, providing feedback, and addressing performance problems and issues promptly.

  • Apply Customer Lens: The ability to provide the best service to customers (internal and external) with the goal of exceeding their expectations while maintaining integrity.

  • Develop Self & Others: The ability to identify, learn, and apply new skills or habits as needed to perform successfully on the job.

  • Foster Collaboration: The ability to look beyond immediate teams, broaden peer networks, and finding ways to partner with internal and external stakeholders to achieve success.

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