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Data Vault Jobs (NOW HIRING)

Siritech Solutions Corp

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

Apply dimensional modeling techniques including Kimball methodology and Data Vault 2.0 architecture * Support Snowflake data modeling, clustering, query optimization, and performance tuning ...

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NAVA Software Solutions

Data Modeler

Iselin, NJ · On-site

$55.50 - $72/hr

Deep knowledge and experience with Inmon, Kimbal, and Data Vault is a must. Exposure to Azure is a Bonus Responsibilities * The Data Modeler will Responsible for leading the development, validation ...

Omni Inclusive

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Experience in various modeling patterns data vault, dimensional, 3NF. Collaborate with data architects, data analysts, and business units to understand data requirements and translate them into data ...

Avanciers LLC

Data Architect

Mettawa, IL · On-site

$73 - $94/hr

Academically and practically fluent in enterprise data architectures (Lakehouse, Data Warehouse, Star Schema, Data Vault 2.0), you will define robust data ingestion patterns across APIs, EDI, and ...

Tech Tammina LLC

Oracle Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

Experience with data modeling best practices: normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and data vault (a plus). * Familiarity with version control (e.g., Git ...

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NR Consulting

Data Modeler Engineer

Charlotte, NC · On-site

$53.50 - $69.25/hr

Specialized in Dimensional Modelling (Kimball) and Data Vault 2.0 architecture * Developed optimized Fact & Dimension tables to support large-scale reporting and BI workloads * Leveraged Snowflake ...

NR Consulting

Data Modeler Engineer

Raleigh, NC · On-site

$53.25 - $69/hr

Specialized in Dimensional Modelling (Kimball) and Data Vault 2.0 architecture * Developed optimized Fact & Dimension tables to support large-scale reporting and BI workloads * Leveraged Snowflake ...

Russell Investments

Principal Data Architect

New York, NY · On-site

$160K - $190K/yr

Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse. * Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD) and CI/CD tools (Jenkins, Git,) * Strong organizational, problem-solving and critical thinking ...

Qualysoft

Fur einen Kunden im offentlichen Sektor suchen wir ab sofort einen erfahrenen SQL / Data Vault Experten (m/w/d) zur Unterstutzung im Bereich Business Intelligence und Datenarchitektur.

United IT

Cloud Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

On Data front Hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault) Roles & Responsibilities * Strong experience in Cloud Data Architecture and ...

Kemper

Senior Data Engineer

Dallas, TX

$104K - $142K/yr

Define and evolve the enterprise data architectureleveragingSnowflake, Data Vault 2.0, and modernevent driven andELT frameworks. * Lead architecture reviews,establishengineering best practices, and ...

Diverse Lynx

Cloud Data Architect

Passaic, NJ · On-site

$66 - $85/hr

On data front hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault). Roles & Responsibilities: * Strong experience in Cloud Data Architecture and ...

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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:
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 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.
Principal Data Architect - Data Platforms

Principal Data Architect - Data Platforms

Russell Investments

Milwaukee, WI • Hybrid

$160K - $190K/yr

Other

Medical, Retirement, PTO

Posted 27 days ago

Job description

Salary Range:$160,000 USD - $190,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

Principal Data Architect - Data Platforms

Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on practical architecture, data modeling, and platform implementation in a hybrid (on-prem + cloud) environment.

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases.

Key Responsibilities

  • Design and implement scalable data architectures, models, and pipelines for analytics and operational use cases.
  • Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure).
  • Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse.
  • Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures, including hybrid patterns.
  • Implement data quality, MDM, and governance standards directly within data pipelines and models.
  • Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines.
  • Collaborate with engineering and analytics teams to deliver production-ready data solutions and guide technical design.

Qualifications

Required:

  • 10+ years of hands-on experience in data architecture or data engineering
  • Strong expertise in SQL and relational databases (SQL Server preferred)
  • Experience building data pipelines using DBT (3+ years preferred)
  • 5+ years of Proven experience designing and implementing cloud data platforms (Azure preferred)
  • Deep knowledge of data modeling (3NF, dimensional, Data Vault)
  • Experience with data warehouse/lakehouse design and optimization
  • Hands-on experience with data migration and hybrid architectures
  • Excellent communication and stakeholder management across technical and business domains with a demonstrated ability to translate architecture into business outcomes.

Preferred:

  • Experience with Snowflake, Databricks, Spark, or Python
  • Familiarity with data quality, observability, and governance tools
  • Exposure to AI/ML data pipelines or MLOps frameworks
  • Financial services or investment domain experience

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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