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Data Modernization Jobs in Virginia (NOW HIRING)

Business Analyst 3

Richmond, VA · On-site

$40.50 - $55.75/hr

Support data modernization efforts, especially within Azure-based environments. * Collaborate with agile delivery teams, technical staff, business partners, and vendors. * Develop and maintain ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Support large-scale data migration and platform modernization initiatives * Integrate AI/ML services, machine learning models, and advanced analytics capabilities into enterprise data platforms

Data Engineer

Mclean, VA · On-site

$102K - $170K/yr

Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption. * Troubleshoot and resolve issues in production environments, ensuring high ...

Sr. Technical Project Manager

Vienna, VA · On-site

$180K - $190K/yr

This role will be responsible for leading the successful delivery of a complex data warehouse and business intelligence modernization effort, transforming a legacy environment into a modern cloud ...

Sr. Technical Project Manager

Vienna, VA · On-site

$110K - $152K/yr

This role involves overseeing the delivery of a complex data warehouse modernization effort, ensuring alignment with customer priorities and technical objectives. Responsibilities : • Provide ...

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

Support cloud-based analytics environments and data modernization initiatives. * Prepare technical documentation and data architecture diagrams. Minimum Qualifications * Bachelor's degree in Computer ...

VAST Data is redefining the data platform for the AI era. As one of the fastest-growing infrastructure software companies in history, VAST sits at the center of AI, HPC, and data modernization ...

VAST Data is redefining the data platform for the AI era. As one of the fastest-growing infrastructure software companies in history, VAST sits at the center of AI, HPC, and data modernization ...

Data Architect

Arlington, VA · On-site +1

$73.25 - $94.25/hr

Lead data modernization initiatives, including migration of legacy data environments to cloud-based and hybrid architectures. * Establish data management standards, metadata requirements, and data ...

New

Sr. Technical Project Manager

Vienna, VA · On-site

$180K - $190K/yr

This role will be responsible for leading the successful delivery of a complex data warehouse and business intelligence modernization effort, transforming a legacy environment into a modern cloud ...

Showing results 21-40

Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
What job categories do people searching Data Modernization jobs in Virginia look for? The top searched job categories for Data Modernization jobs in Virginia are:
Infographic showing various Data Modernization job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst McLean, VA - (Onsite 5 days per week) - Must be local

Cyber Sphere LLC

Mclean, VA • On-site

Other

Posted 6 days ago


Job description

Data Analyst
McLean, VA (Onsite 5 days per week) - Must be local
Long Term
Contract

Perform data lineage analysis, data profiling, and data mapping across enterprise systems to understand how data supports business processes and target state capabilities.

Define business requirements and user stories for data enablement teams implementing cloud-based data ingestion and integration patterns.

Analyze event-driven and entity-based data models, mapping legacy data assets to target state architectures while identifying gaps and transformation requirements.

Partner with business and technical stakeholders to define business-aligned data requirements, assess business impacts of target state designs, and manage stakeholder expectations.

Provide senior business analysis leadership by supporting planning, defining acceptance criteria, overseeing deliverable quality, coordinating QA and UAT activities, and leveraging AI tools such as Microsoft Copilot, ChatGPT, Claude, and other approved LLMs to improve analysis efficiency.

What We're Looking For

10+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programmes.

Strong experience with data lineage, data profiling, data mapping, business process analysis, and requirements elicitation.

Experience defining requirements for cloud-based data platforms and modern data ingestion architectures.

Working knowledge of event-driven and entity-based data models, data governance principles, and enterprise data architecture concepts.

Domain knowledge of the secondary mortgage industry, including one or more of loan sourcing, underwriting, servicing, securitization, or capital markets operations.

Bonus Points For

Experience working with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud.

Experience with Agile delivery methodologies, Azure DevOps, Jira, or similar requirements management tools.

Experience supporting enterprise data modernization or large-scale legacy system transformation initiatives.

Regards,

Vinay Ram

(Direct)

Suwanee, GA - 30024

An MBE & eVerify Company

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