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Data Solutions Manager Jobs in Virginia (NOW HIRING)

IMPYRIAN

AI/DATA SOLUTIONS ARCHITECT

Ashburn, VA · On-site

$173K - $220K/yr

Partner with PMO, engineering leads, and business owners to ensure successful design-to-delivery ... data architecture, AI/ML engineering, or enterprise solution architecture. * Demonstrated ...

Surescripts

VP Data Solutions

Arlington, VA · On-site

Partner with Sales and Account Management to support customer and partner relationships, representing the Data Solutions portfolio in the market and in industry forums. * Work collaboratively with ...

MasterCard

Manager, Data Engineering

Arlington, VA · Hybrid

Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across Test & Learn and other Services products. In this ...

Tetra Tech

Digital Solutions Manager

Arlington, VA

Tetra Tech is adding a Digital Solutions Manager to our Digital Solutions team based in Arlington ... Familiarity with data collection platforms, business intelligence tools, or data visualization ...

Tetra Tech

Digital Solutions Manager

Arlington, VA · On-site

... data, and technology challenges in diverse and often resource-constrained environments. This ... management, and stakeholder engagement to deliver practical solutions with global impact. This is ...

ALTEN Technology USA

Data Architect

Herndon, VA

$65.50 - $84.25/hr

Strong experience in data architecture, data management, and enterprise data solutions. * Experience designing data flows, application integrations, and functional interfaces between systems.

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All JobsData Solutions JobsData Solutions Manager JobsData Solutions Manager Jobs in Virginia

Data Solutions Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data solutions manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data solutions manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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

AspectData Solutions ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related fields; certifications like CDMP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentLeads teams, collaborates with stakeholders, manages data projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare companies for data strategyCommon across various industries for data interpretation

The Data Solutions Manager focuses on overseeing data projects, managing teams, and aligning data strategies with business goals. In contrast, a Data Analyst primarily interprets data, creates reports, and supports decision-making. Both roles require strong analytical skills and data knowledge, but the manager role involves leadership and strategic planning, while the analyst role emphasizes data analysis and reporting.

What are the typical challenges faced by a Data Solutions Manager when implementing new data systems across multiple departments?

A Data Solutions Manager often encounters challenges such as aligning the differing data needs and priorities of various departments, ensuring seamless integration of new systems with existing infrastructure, and managing data security and compliance requirements. Effective communication and stakeholder management are crucial, as the role requires translating technical solutions into actionable strategies for non-technical teams. Additionally, balancing project timelines with resource constraints and fostering user adoption through training and support are common responsibilities that require strong leadership and organizational skills.

What does a Data Solutions Manager do?

A Data Solutions Manager oversees the design, development, and implementation of data-driven solutions within an organization. They work closely with teams to ensure data systems meet business needs, manage data projects, and coordinate between technical and business stakeholders. Their responsibilities typically include leading data strategy, ensuring data quality and security, and driving innovation through effective data utilization. This role requires strong leadership, technical expertise, and a deep understanding of how data can support business objectives.

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

To thrive as a Data Solutions Manager, you need expertise in data management, analytics, and project leadership, usually backed by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are highly valued. Strong communication, problem-solving, and stakeholder management skills help you translate business needs into effective data solutions. These skills are essential for delivering scalable, secure, and actionable data systems that drive organizational success.
What cities in Virginia are hiring for Data Solutions Manager jobs? Cities in Virginia with the most Data Solutions Manager job openings:
Data Solutions Manager jobs near you
Infographic showing various Data Solutions Manager job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.

Data Solutions Architect (Databricks)

eSolutionsFirst, LLC

Vienna, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Solutions Architect  - Databricks

12 Months contract – Extension   

Location:   Vienna, VA 22182

 Job description:

  • As a Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.
  • RSAs are billable and know how to complete projects according to specification with excellent customer service.
  • You will report to the regional Manager/Lead.

 Key Responsibilities

 Architecture & Technology Strategy

  • Perform technology and tools assessments to evaluate market trends and determine the best fit within the enterprise landscape
  • Evaluate architecture patterns and oversee implementation from concept to production
  • Conduct research on emerging tools and technologies to recommend cost-effective and innovative solutions
  • Define and design end-to-end data and AI architectures

Data & AI Solution Delivery

  • Design, develop, and implement data solutions using the Databricks platform
  • Build scalable data pipelines, analytics solutions, and machine learning models
  • Leverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use cases
  • Productionalize customer use cases and deploy enterprise-grade solutions

Client Engagement & Consulting

  • Work directly with customers on short- to medium-term engagements to solve big data challenges
  • Design and build reference architectures and reusable frameworks
  • Guide customers through data platform modernization, migrations, and AI transformations
  • Collaborate with engagement managers to scope and deliver professional services projects
  • Provide architectural guidance and ensure successful adoption of Databricks

 Support & Delivery Excellence

  • Provide advanced troubleshooting and escalated support for customer issues
  • Ensure projects are delivered on time, within scope, and with high customer satisfaction
  • Maintain a strong focus on quality, scalability, and performance

 Required Qualifications

  • 10+ years of hands-on experience in:
    • Big Data technologies
    • Databricks ecosystem
    • Machine Learning and Generative AI
  • Strong experience with distributed data processing (e.g., Apache Spark)
  • Proficiency in Python, SQL, and/or Scala
  • Experience designing and implementing enterprise data architectures
  • Proven ability to work in client-facing roles and deliver consulting engagements

Apply