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Data Virtualization Jobs (NOW HIRING)

Sparibis

Virtualization Engineer

Melbourne, FL

DATA MANAGEMENT * Careers * Contact Us Careers Home / Careers My Account Job Openings >> Virtualization Engineer Virtualization Engineer Summary Title: Virtualization Engineer ID: 1376 Location:

SA Technologies Inc.

Data Warehouse Specialist

San Ramon, CA

$19.75 - $25.75/hr

Hands-on experience working in Denodo (data virtualization technology) * Nice to have: Informatica MDM implementation experience (Must be Informatica) * Banking industry experience in Compliance work ...

Relanto, Inc.

AWS Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... virtualization, query federation, and distributed query processing architectures. • Experience implementing data governance, metadata management, data lineage, and security controls. • ...

Sparibis

Virtualization Engineer

Melbourne, FL · On-site

Experience as a Virtualization Lead, leading system upgrades, migrations, and continue to evolve ... Implementing and managing backup and disaster recovery solutions to ensure data integrity and ...

Sparibis

Virtualization Administrator

Alexandria, VA

DATA MANAGEMENT * Careers * Contact Us Careers Home / Careers My Account Job Openings >> Virtualization Administrator Virtualization Administrator Summary Title: Virtualization Administrator ID: 1375 ...

Sparibis

Virtualization Administrator

Alexandria, VA · On-site

Virtualization Administrator with focus on VMware, Hyper-V and other similar technologies ... Implementing and managing backup and disaster recovery solutions to ensure data integrity and ...

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Data Virtualization information

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How much do data virtualization jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data virtualization in the United States is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $69.71 per hour, depending on experience, location, and employer.

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

To thrive as a Data Virtualization Specialist, you need expertise in data modeling, integration, and querying, typically supported by a degree in computer science or a related field. Familiarity with data virtualization platforms such as Denodo, Cisco Data Virtualization, or IBM Cloud Pak for Data, along with knowledge of SQL and data governance frameworks, is essential. Strong problem-solving, communication, and stakeholder management skills help professionals collaborate effectively and translate business needs into technical solutions. These skills ensure seamless data access, improved decision-making, and efficient data management across diverse IT environments.

What is data virtualization?

Data virtualization is a technology that allows users to access, integrate, and analyze data from multiple sources without physically moving or copying the data. It creates a virtual data layer that connects disparate systems, providing a unified view of information in real-time. This approach simplifies data management, reduces storage costs, and enables faster decision-making by providing up-to-date data on demand. Data virtualization is commonly used in business intelligence, analytics, and data integration projects.

What are some common challenges faced by Data Virtualization professionals when integrating data from multiple sources?

Data Virtualization professionals often encounter challenges such as ensuring real-time access and performance when integrating data from diverse sources, including legacy systems, cloud platforms, and databases with different formats. Handling data consistency, managing security protocols, and maintaining data governance standards across virtualized environments can also be demanding. Collaboration with data engineers, architects, and business analysts is essential to ensure that the virtualized data meets the organization’s analytical and operational needs. Overcoming these challenges requires strong technical skills and effective communication across teams.
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What states have the most Data Virtualization jobs? States with the most job openings for Data Virtualization jobs include:
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Data Virtualization jobs near you
Infographic showing various Data Virtualization job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $114,704 per year, or $55.1 per hour.

Senior Data Architect

Harvard Partners Trusted IT Advisors

Boston, MA • Remote

$100 - $110/hr

Contractor

Re-posted 2 days ago

Job description

As a Senior Data Architect, you will lead solution architecture for a high-visibility enterprise data strategy program, and will be responsible for designing the target-state data platform and explaining it clearly to business stakeholders.
Responsibilities: 
  • Solution architecture for a strategic enterprise data program — current-state assessment through target-state design and roadmap.
  • Designing a governed, AWS-centric data lakehouse: Apache Iceberg on Amazon S3 / S3 Tables, with Trino, Apache Spark, and Amazon Athena for query and compute.
  • Data virtualization/federation (Denodo) to make on-prem Oracle data consumable by cloud sources.
  • Conceptual, logical, and physical data modeling in erwin, to enterprise modeling standards.
  • Working within data governance and architecture governance: data-as-a-product, raw/work/publish zone standards, cataloging in Alation.
  • Enabling the platform's AI layer — Amazon Bedrock, Bedrock AgentCore, MCP servers — plus tools like Dataiku and potentially Databricks.

Qualifications:
  • Senior data architecture experience (10+ years as a guide) on enterprise programs.
  • AWS-centric data platform depth: S3 / S3 Tables, Athena, AWS-native analytics.
  • Hands-on lakehouse: Apache Iceberg, Trino, Apache Spark.
  • PostgreSQL / cloud databases; experience consuming on-prem Oracle sources.
  • Expert data modeling (conceptual/logical/physical) in Erwin.
  • Data governance & architecture governance; modeling standards, zone standards, data-as-a-product / data mesh.
  • Data catalog/governance tooling — Alation strongly preferred.
  • Strong communicator who can explain complex technical concepts to business users and collaborate with other data teams such as actuaries. Comfortable being visible from director level through engineering.

Nice Qualifications to have:
  • GenAI / agentic solutions on Amazon Bedrock and Bedrock Agent.
  • Core.MCP (Model Context Protocol) servers.
  • Dataiku and/or Databricks.
  • Financial services/insurance domain experience.