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Data Vault Jobs (NOW HIRING)

Soni Resources

Senior Data Architect

New York, NY · On-site

$210K/yr

Establish and govern Data Vault 2.0 standards, including Hubs, Links, Satellites, Business Vault, historization, and data lineage. * Define architecture standards for Databricks Lakehouse, Delta Lake ...

New

Embtel Inc

Sr Data Modeler

Dallas, TX · On-site

Data Vault exp Contract JD: * Designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional * Responsible for the development of ...

New York Technology Partners

Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Promote best practices in Data Vault, Kimball, Hybrid Modeling, and AI-ready data foundations. Required Qualifications * 8+ years of experience in Data Architecture, Data Engineering, or Data ...

Scalence L.L.C.

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

... Vault 2.0 architecture. • Developed optimized Fact & Dimension tables to support large-scale reporting and BI workloads. • Leveraged Snowflake expertise for data modeling, clustering, and ...

SyrenCloud LLC

Data Architect

Raritan, NJ · On-site

$65.25 - $84/hr

... data vault modeling, and de-normalized modeling approaches. ● Design and build scalable data pipelines using Azure Databricks, Python, PySpark, and SQL. ● Work with Databricks Unity Catalog ...

CPI Security

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work ...

ClifyX

Cloud Data Architect

Manhattan, NY · On-site

$70.25 - $90.25/hr

... data vault • Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake and Cortex AI, FiveTran, dbt, Data Virtualization tools • ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with ...

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work ...

Prophecy Technologies

Data Architect

San Leandro, CA · On-site

$72 - $92.75/hr

Snowflake architecture (virtual warehouses, snowpipe, clustering keys), data modeling (Inmon, Kimball, Data Vault 2.0), cloud security governance, dbt for data transformation and legacy system ...

AIG

Senior Manager - Data Engineering

Jersey City, NJ · On-site

... data vault 2.0 modelling and implementation. • Work with actuarial data in the insurance domain. Qualifications : Required : • Master's degree in Statistics, Data Science, Mathematics ...

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How much do data vault jobs pay per hour?

As of Aug 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:
What job categories do people searching Data Vault jobs look for? The top searched job categories for Data Vault jobs are:
Data Vault jobs near you
Infographic showing various Data Vault job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. 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.

Solution Architect with Data Vault & AKS (Need Locals to NJ/NY for in-person Interview)

Saransh Inc

Jersey City, NJ • On-site

Contractor

Re-posted 11 days ago

Job description

Role: Solution Architect – Data Vault & AKS
Location: Jersey City, NJ (Onsite from Day 1) - Need Locals
Duration: 6 Months + Extension
 
Note: Need Locals to NJ/NY or nearby for In-person interview
 
Role Overview:
  • We are seeking a highly skilled Solution Architect with expertise in Data Vault modeling and Azure Kubernetes Service (AKS).
  • The architect will lead enterprise data architecture initiatives, design scalable data solutions, and drive cloud‑native modernization programs.
  • This role requires strong technical leadership, hands‑on architecture skills, and the ability to translate business requirements into robust, future‑ready solutions.
Key Responsibilities:
  • Architect and implement Data Vault 2.0 models for enterprise data warehouses.
  • Lead cloud‑native deployments on Microsoft Azure, leveraging AKS for container orchestration.
  • Define and optimize data integration strategies across multiple source systems.
  • Provide architectural recommendations for data pipelines, ETL/ELT frameworks, and distributed systems.
  • Ensure compliance with data governance, security, and regulatory standards.
  • Mentor engineering teams on best practices in data modeling, metadata management, and observability.
Required Qualifications:
  • 10+ years of IT experience with strong background in data architecture and solution design.
  • 5+ years of experience in Data Vault modeling (Data Vault 2.0 preferred).
  • 5+ years of hands‑on experience with Microsoft Azure, including AKS, VMs, Key Vault, and App Gateway.
  • Strong knowledge of ETL/ELT tools (Informatica, Talend, dbt, or similar).
  • Hands‑on experience with SQL, Python, and data pipeline orchestration.
Nice to Have:
  • Experience with Snowflake, Databricks, or BigQuery.
  • Familiarity with event‑driven architectures and messaging systems (Kafka, RabbitMQ).
  • Knowledge of Redis, MongoDB, MySQL for data storage and caching.
  • Certifications in Microsoft Azure, Kubernetes, or Data Vault.
  • Exposure to AI/ML services and intelligent automation frameworks.