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Data Solutions Manager Jobs in Virginia (NOW HIRING)

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions ... Knowledge of data governance, data quality, and metadata management practices. * Familiarity with ...

Steampunk

Technical Architect - Data

Mclean, VA · On-site

$64.50 - $83/hr

Establish data governance, metadata management, data quality, data lineage, and security best practices across enterprise data platforms. * Assess, understand, and design reporting solutions ...

Steampunk

Technical Architect - Data

Mclean, VA

$64.50 - $83/hr

Establish data governance, metadata management, data quality, data lineage, and security best practices across enterprise data platforms. * Assess, understand, and design reporting solutions ...

Steampunk

Technical Architect - Data

Mclean, VA · On-site

$64.50 - $83/hr

Establish data governance, metadata management, data quality, data lineage, and security best practices across enterprise data platforms. * Assess, understand, and design reporting solutions ...

VTG

Data Engineer Expert

Herndon, VA · On-site

$117K - $141K/yr

... solutions. What will you do? • Design, develop, and maintain scalable data models, data ... manage diverse data streams using tools such as NiFi, Cribl, or similar platforms • Analyze ...

RIVIDIUM

Data Architect

Quantico, VA

$68.75 - $88.50/hr

Design, build, and manage scalable data architectures to support business and mission needs ... Document and communicate the relationship between business objectives and IT data solutions

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Amazon

Sr. Customer Solutions Manager

Arlington, VA · On-site

AWS is seeking a Customer Solutions Manager (CSM) to help customers realize sustained business ... We are passionate about people who innovate, use data to make decisions, and can express themselves ...

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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 Jul 19, 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
Data Engineer

Data Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

$117K - $141K/yr

Other

Posted 26 days ago

Job description

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with experience supporting analytics, reporting, and data-driven business initiatives. This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks.
  • Build and optimize data ingestion processes from multiple structured and unstructured data sources.
  • Develop and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs.
  • Write complex SQL queries, stored procedures, and performance-tuned data transformations.
  • Implement data quality, validation, and monitoring processes to ensure data accuracy and integrity.
  • Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions.
  • Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Support production deployments, troubleshoot data issues, and perform root cause analysis.
  • Create and maintain technical documentation, data lineage, and operational procedures.

Required Qualifications

  • 5 7 years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong SQL expertise including query optimization, performance tuning, indexing, and complex data transformations.
  • Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
  • Strong experience with Databricks, Apache Spark, PySpark, and notebook development.
  • Experience building and maintaining ETL/ELT pipelines in cloud environments.
  • Proficiency in Python for data engineering and automation tasks.
  • Experience with dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Familiarity with Git-based source control and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with Power BI or other reporting and visualization platforms.
  • Knowledge of Delta Lake, Lakehouse architecture, and real-time data processing.
  • Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices.
  • Experience working with large-scale enterprise datasets and distributed data processing.
  • Familiarity with data security, compliance, and access control best practices.
  • Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

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