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Data Virtualization Jobs (NOW HIRING)

Genius Road

Senior Data Analyst #2470

Dallas, TX · Hybrid

$85K - $107K/yr

Experience with Data Virtualization (Denodo) is a plus * Strong attention to detail and analytical skills is a must * Excellent communication and collaboration skills * Self-motivated, with the ...

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 ...

I-Link Solutions

Principal Data Architect

Houston, TX · Hybrid

... virtualization relies on zero-copy architectures. Mandatory Technical: * Active Metadata Infrastructure : Demonstrated success designing closed-loop data automation pipelines (e.g., building ...

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 ...

Alphosoft Inc

Data Modeler

Atlanta, GA · On-site +1

$52.75 - $68.25/hr

Experience with data virtualization or integration tools * Prior experience in the transportation or logistics industry Education B.A./B.S. degree or equivalent work experience in computer science ...

Sonsoft Inc

Openstack Developer

Irving, TX · On-site

At least 1 year of experience with technical skills in SOA, web services, data virtualization, implementation of RESTful webservices Qualifications Qualifications Basic Bachelor's degree or foreign ...

Comtech, LLC

Information / Data Architect

Owings Mills, MD

$61.25 - $78.75/hr

Strong analytics & reporting skills - experience with BI tools like Tableau, Tibco Spotfire, MS Power BI, datablending tools like Alteryx, data virtualization platforms & reporting platforms such as ...

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How much do data virtualization jobs pay per hour?

As of Jun 22, 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 is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles requiring advanced skills in data strategy, governance, and leadership tend to have the highest compensation packages.

Is data virtualization still relevant?

Data virtualization is still relevant for data virtualization specialists as it enables real-time access to diverse data sources without physical data movement, improving agility and reducing costs. Professionals in this field often work with tools like Denodo or Cisco Data Virtualization and require skills in data integration and data management. Its role remains important in modern data architectures, especially with increasing data complexity and demand for quick insights.

What jobs will boom in 2026?

Data virtualization specialists and related roles such as data engineers and cloud data architects are expected to see significant growth by 2026 due to increasing demand for efficient data management and integration. Skills in cloud platforms, data modeling, and tools like virtualization software will be valuable for these positions.

What does data virtualization do?

Data virtualization is a technology used by data virtualization specialists to create a unified, real-time view of data from multiple sources without moving or copying the data. It enables users to access and analyze data across different systems quickly and efficiently, often using specialized tools and skills in data management. This approach improves data agility and reduces the complexity of data integration efforts.

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.
More about Data Virtualization jobs
What states have the most Data Virtualization jobs? States with the most job openings for Data Virtualization jobs include:
What job categories do people searching Data Virtualization jobs look for? The top searched job categories for Data Virtualization jobs are:
Data Virtualization jobs near you
Infographic showing various Data Virtualization job openings in the United States as of June 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $114,704 per year, or $55.1 per hour.
Big Data Solutions Architect and Client: Stater Bros and Rate: $130/hr and Location: San Berdanhi...

Big Data Solutions Architect and Client: Stater Bros and Rate: $130/hr and Location: San Berdanhi...

NFOLKS LLC

San Bernardino, CA • On-site

$130/hr

Full-time

Posted 24 days ago

Job description

Company Description

nFolks

Job Description

Big Data Solutions Architect

Qualifications

Bachelors

Additional Information

Job Description

Local candidate preferred or ability to relocate

General Experience

-10+ years of experience building solution designs and architectures for enterprise Big Data Solutions

-3+ years of experience in technology consulting preferred

-CPG/Retail domains is preferred

-Working with all organizational levels to understand requirements and provide thought leadership related to Big Data Solutions

-Ability to facilitate, guide, and influence decision makers and stakeholders towards the proper IT architecture

-Ability to create presentation materials and simplify complex ideas

-Ability to present technology architecture and solution overviews to executive audiences

- Drive innovations through hands on proof-of-concept's and prototypes to help illustrate approaches to technology and business problems

Functional Experience

-Full Software Development Life Cycle (SDLC) of the Big Data Solutions

-Experience with data integration and streaming technologies for EDW and Hadoop

-Data modeling and database design

-Data warehousing and Business Intelligence systems and tools

-Open source Hadoop stack

-Administration, configuration, monitoring, and performance tuning of Hadoop/Distributed platforms

-Big Data and real time analytics platforms

-ETL for Big Data

- Migration of Legacy data warehouse to Data Lake

- Develop guidelines, standards, and processes to ensure the highest data quality and integrity

- Understanding of CI/CD in relation to Big Data platform.

- Understanding of Containers technologies is a plus

-Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure)

Combination of technical skills

-Hadoop (HDFS, MapReduce, Hive, Hbase, Pig, Spark)

-Cloudera, Hortonworks, MapR,

-NoSQL (Cassandra, MongoDB, Hbase)

- Git, Nexus

- Enterprise scheduler

- Kafka, Flume, Strom

-Appliances (Teradata, Netezza)

-Languages (Java, Linux, Apache, Perl/Python/PHP)

-Data Virtualization

Education

-Bachelor's degree in Computer Science or a related field preferred

-Master's degree in a related field preferred 

Job Description

Local candidate preferred or ability to relocate

General Experience

-10+ years of experience building solution designs and architectures for enterprise Big Data Solutions

-3+ years of experience in technology consulting preferred

-CPG/Retail domains is preferred

-Working with all organizational levels to understand requirements and provide thought leadership related to Big Data Solutions

-Ability to facilitate, guide, and influence decision makers and stakeholders towards the proper IT architecture

-Ability to create presentation materials and simplify complex ideas

-Ability to present technology architecture and solution overviews to executive audiences

- Drive innovations through hands on proof-of-concept's and prototypes to help illustrate approaches to technology and business problems

Functional Experience

-Full Software Development Life Cycle (SDLC) of the Big Data Solutions

-Experience with data integration and streaming technologies for EDW and Hadoop

-Data modeling and database design

-Data warehousing and Business Intelligence systems and tools

-Open source Hadoop stack

-Administration, configuration, monitoring, and performance tuning of Hadoop/Distributed platforms

-Big Data and real time analytics platforms

-ETL for Big Data

- Migration of Legacy data warehouse to Data Lake

- Develop guidelines, standards, and processes to ensure the highest data quality and integrity

- Understanding of CI/CD in relation to Big Data platform.

- Understanding of Containers technologies is a plus

-Knowledge/experience of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure)

Combination of technical skills

-Hadoop (HDFS, MapReduce, Hive, Hbase, Pig, Spark)

-Cloudera, Hortonworks, MapR,

-NoSQL (Cassandra, MongoDB, Hbase)

- Git, Nexus

- Enterprise scheduler

- Kafka, Flume, Strom

-Appliances (Teradata, Netezza)

-Languages (Java, Linux, Apache, Perl/Python/PHP)

-Data Virtualization

Education

-Bachelor's degree in Computer Science or a related field preferred

-Master's degree in a related field preferred 

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