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Data Vault Jobs (NOW HIRING)

Data architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Strong Data architect with Solid Data Modelling experience, specifically in Data vault 2.0. Work Location & Reporting Address: Chicago, IL 60604 (Hybrid, 3 days work from office in Chicago) Contract ...

Life Sciences Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

Required Skills: * Data Vault 2.0 * Snowflake * Dimensional Modeling * Preferred Qualifications: * US Pharma Data * IQVIA * Veeva CRM * dbt * Collibra * Tableau * Power BI * Roles and ...

Knowledge of Data Vault 2.0 concepts (Hubs, Links, Satellites) for scalable data modeling. * Proficient in Snowflake, with solid understanding of database structures and query optimization. * Develop ...

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Big Data Modeler

Las Vegas, NV · On-site

$52.50 - $68.25/hr

Data Modelling, Data Analysis, Snowflake, Data Vault 2.0, Hive, (Erwin/ER/Studio/ Toad Data Modeler), SQL, DB2, MDM * Should have in depth understanding on Data Warehousing, Data Analysis, Data ...

Primary Architect Data Platform

Atlanta, GA · On-site

$61.25 - $78.75/hr

The ideal candidate will possess deep expertise in Medallion Architecture, cloud platforms and security, Data Vault modeling, enterprise data exposure strategies, and advanced data modeling practices.

Develop and maintain data models using techniques such as STAR schema and data vault to facilitate efficient data retrieval and reporting. Collaborate with cross-functional teams to gather ...

Primary Architect Data Platform

Atlanta, GA · On-site

$61.25 - $78.75/hr

The ideal candidate will possess deep expertise in Medallion Architecture, cloud platforms and security, Data Vault modeling, enterprise data exposure strategies, and advanced data modeling practices.

Data Vault * Drive and document modeling and model review sessions. Make model adjustments based on feedback. * Ability to communicate the data models to technical and non-Technical audience.

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How much do data vault jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for data vault in the United States is $51.66, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $62.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Vault position, and why are they important?

To excel as a Data Vault specialist, you need a solid understanding of data modeling, database management, and data warehousing concepts, often supported by a degree in computer science or a related field. Familiarity with Data Vault 2.0 methodology, ETL tools (like Informatica or Talend), and cloud platforms such as Azure or AWS is highly valued, along with relevant certifications. Strong analytical thinking, attention to detail, and effective communication skills help set candidates apart in this position. These competencies are essential to ensuring accurate, scalable, and traceable enterprise data solutions that support informed business decision-making.

What are some typical challenges faced by professionals working with Data Vault modeling?

Professionals working with Data Vault modeling often encounter challenges such as integrating data from multiple disparate sources, ensuring data quality and consistency, and optimizing performance for large-scale data warehousing environments. Adapting to changes in source systems and managing evolving business requirements can also require frequent model adjustments and close collaboration with both technical and business stakeholders. However, overcoming these challenges provides valuable opportunities to innovate data architecture and improve enterprise data reliability, positioning professionals for career growth in advanced data engineering and analytics roles.

What is a Data Vault job?

A Data Vault job typically involves working with the Data Vault methodology for data modeling, which is designed for scalable, flexible, and auditable enterprise data warehousing. Professionals in this role focus on designing, implementing, and maintaining Data Vault architectures, ensuring efficient data integration and historical tracking. They often work with ETL processes, data warehousing tools, and various databases to support business intelligence and analytics needs. The role may also require collaboration with data engineers, analysts, and architects to ensure data quality and consistency.

More about Data Vault jobs
What are the most commonly searched types of Data Vault jobs? The most popular types of Data Vault jobs are:
What states have the most Data Vault jobs? States with the most job openings for Data Vault jobs include:
Infographic showing various Data Vault job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,448 per year, or $51.7 per hour.

Big Data Modeler (Data Vault 2.0 Expertise Required)

Kaav Inc.

Las Vegas, NV • On-site

$52.50 - $68.25/hr

Other

Posted 3 days ago


Job description

We're Hiring! | High-Priority Role - Big Data Modeler (Data Vault 2.0 Expertise Required)
Job Title: Big Data Modeler (Data Vault 2.0 Expertise Required)
Location: Las Vegas, NV (Onsite)
Experience Required: 12 - 15 Years
Start Date: Immediate / Urgent Requirement
Domain Experience Preferred: Financial Services
About the Role
We are actively seeking a Senior Big Data Modeler with strong, hands-on experience in Data Vault 2.0 to support the data strategy of a key client. This is a mission-critical role focused on building scalable, cloud-native data architecture using modern platforms and modeling practices.
Top Primary Skills - Must-Have
Data Vault 2.0 - Proven experience in real-world implementations
Data Modeling - Strong in relational, dimensional, star, snowflake, normalized/denormalized models
Cloud Data Platforms - Snowflake, Hive, Redshift
Data Lakehouse - Experience with architecture and tools like S3, Hive, Trino, HUE
Big Data Ecosystem - Strong knowledge of Hadoop/Hive/S3 integration and schema design
Data Governance & Quality - Understanding of MDM, Data Dictionary, Data Mapping
Data Modeling Tools - ERwin, ER/Studio, or Toad Data Modeler
SQL Expertise - Ability to work with complex datasets across SQL Server, Oracle, DB2
Excellent Communication - Comfortable working with cross-functional stakeholders
Agile & Collaboration - Experience working in agile teams with global team alignment (including Pacific Time overlap)
Key Responsibilities
  • Design enterprise-scale data models (100+ entities) for both on-prem and cloud environments
  • Lead implementation of Data Vault 2.0 in cloud-native data environments
  • Collaborate with business analysts, product owners, DBAs, and data engineers to translate business requirements into data models
  • Define and implement data governance, data quality, and data lineage strategies
  • Work with modern big data stacks: Hive, S3, Trino, HUE, Snowflake
  • Develop logical and physical data models using tools like ERwin, ER/Studio, or Toad
  • Apply industry best practices including Bill Inmon and Ralph Kimball methodologies
  • Participate in agile ceremonies and have at least 2 hours of daily overlap with Pacific Time Zone
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
  • Minimum of 12 years in data architecture and modeling
  • Financial services domain experience is a strong plus
  • Strong documentation and presentation skills
  • Ability to lead and mentor junior data engineers and analysts

Thanks & Best Regards,
Sivaji Katta
Email: sivaji.k@kaavinc.com
LinkedIn: linkedin.com/in/kattasivaji1998071826-lscm