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Data Modeling Director Jobs (NOW HIRING)

4 Staffing Corp

Data Modeler (Financial Services)

Newark, NJ · On-site

$57.25 - $74.25/hr

... direct employment * Hybrid onsite/remote - Newark, NJ * No visa sponsorship or C2C at this time Our ... The ideal candidate will have a strong background in data modeling and database design ...

Jobsbridge

Data Modeler

San Ramon, CA

$61.25 - $79.25/hr

... direct involvement in development efforts. Develops and documents artifacts and templates in the ... communicate modeling solutions, including both relational and dimensional models Analyze data ...

WATI

Data Modeler

Sacramento, CA · On-site

$59.75 - $77.25/hr

Three (3) years of demonstrated experience in data modeling. Three (3) years of demonstrated ... Two (2) years of work experiences of direct involvement in fully automating a business process.

West Advanced Technologies (WATI)

Data Modeler

Sacramento, CA · On-site

$50.75 - $65.75/hr

Three (3) years of demonstrated experience in data modeling. Three (3) years of demonstrated ... Two (2) work experiences of direct involvement in fully automating a business process. Must have ...

Experian

You will report to the Director, Fraud Analytics Consulting. You'll have the opportunity to: * Work ... data can reveal. * Co-build custom fraud detection models with client teams, guiding them through ...

Critical Propulsion

Senior Data Analyst

Dallas, TX

$85K - $107K/yr

Direct client impact. Your data models hit production in days, not quarters. * Competitive comp sized for senior operators, not blended-team billing rates. How to apply Send us something that shows ...

NR Consulting

Marketing Technology Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

Data modeling techniques (dimensional modeling, star/snowflake schemas, Data Vault) • Strong ... NR Consulting is an information technology consulting firm that offers contingent hiring, direct ...

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All JobsData Modeling Director Jobs

Data Modeling Director information

See salary details

$52K

$128.5K

$200K

How much do data modeling director jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data modeling director in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Modeling Director vs Data Warehouse Manager?

AspectData Modeling DirectorData Warehouse Manager
Primary FocusDesigning and overseeing data models and architectureManaging data warehouse operations and data integration
Required SkillsData modeling, database design, leadershipData warehousing, ETL processes, team management
Work EnvironmentStrategic planning, collaboration with data architectsOperational management, technical troubleshooting
Industry UsageUsed across industries with large data needsPrimarily in organizations with extensive data warehousing needs

The Data Modeling Director focuses on creating and maintaining data models and architecture, ensuring data consistency and quality. In contrast, the Data Warehouse Manager handles the day-to-day operations of data warehouses, including data integration and performance optimization. Both roles require strong technical skills, but their responsibilities differ in scope and focus.

What does a Data Modeling Director do?

A Data Modeling Director oversees the design, development, and management of data models that support an organization's data strategy and business goals. They lead teams of data modelers and analysts to create, optimize, and maintain logical and physical data models for databases, data warehouses, and other data systems. Their responsibilities include ensuring data quality, consistency, and compliance with industry standards, as well as collaborating with stakeholders to align data structures with business needs. Additionally, they often provide guidance on best practices and emerging trends in data modeling to ensure scalable and efficient data architectures.

What are the 4 types of data modeling?

Data Modeling Directors typically work with four main types of data modeling: conceptual, logical, physical, and dimensional. Conceptual models define high-level data structures, logical models specify detailed data relationships, physical models focus on how data is stored in databases, and dimensional models are used in data warehousing for analysis. Understanding these types helps in designing effective data architectures and supporting data-driven decision-making.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data modeling, leadership, and strategic decision-making, and may involve managing large teams and complex projects.

What is the highest paid job in data science?

In data science, senior roles such as Chief Data Officer or Director of Data Science tend to have the highest salaries, often exceeding $150,000 annually, especially in large organizations. These roles require advanced skills in machine learning, data architecture, and leadership, and often involve strategic decision-making and cross-functional collaboration.

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

To excel as a Data Modeling Director, you need deep expertise in data architecture, data modeling methodologies (such as relational, dimensional, and NoSQL), and a strong background in computer science or a related field. Experience with data modeling tools (e.g., ERwin, PowerDesigner), database systems (SQL, Oracle, MongoDB), and relevant certifications like CDMP are highly valuable. Strong leadership, communication, and project management skills set standout professionals apart by enabling effective team collaboration and stakeholder engagement. These competencies ensure the design and management of robust, scalable data structures that support organizational objectives and informed decision-making.

What is the difference between a data engineer and a data modeler?

A Data Modeling Director oversees the design and structure of data models that define how data is stored and related, focusing on creating efficient schemas and standards. A data engineer builds and maintains data pipelines, integrating data from various sources and ensuring data availability for analysis, often using tools like SQL, Python, and cloud platforms. Both roles require strong technical skills but focus on different aspects of data management.

What are some common challenges faced by a Data Modeling Director when managing cross-functional teams?

As a Data Modeling Director, a key challenge is ensuring alignment across cross-functional teams such as data engineering, business analytics, and IT. Different teams may have varying priorities, technical backgrounds, and understandings of data requirements, which can lead to miscommunication or conflicting objectives. To address this, the director must foster clear communication, establish standardized data modeling practices, and facilitate regular collaboration to ensure that data models meet both technical and business needs. Balancing technical accuracy with business relevance is essential for successful project outcomes.
More about Data Modeling Director jobs
What cities are hiring for Data Modeling Director jobs? Cities with the most Data Modeling Director job openings:
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Data Modeling Director jobs? States with the most job openings for Data Modeling Director jobs include:
What job categories do people searching Data Modeling Director jobs look for? The top searched job categories for Data Modeling Director jobs are:
Data Modeling Director jobs near you
Infographic showing various Data Modeling Director job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Data Modeler (Financial Services)

4 Staffing Corp

Newark, NJ • On-site

$57.25 - $74.25/hr

Other

Posted 3 days ago

Key responsibilities

  • Design, develop, and maintain complex data models for relational and non-relational databases with a focus on Fixed Income Products.

  • Utilize data modeling tools such as Erwin, ER Studio, and DBT to create and manage data models.

  • Establish and maintain data governance policies, standards, and processes including building catalogues, business terms, technical metadata, and data lineage.

Job description

Data Modeler (Financial Services)

Newark, New Jersey, United States

About the Job

Data Modeler (Financial Industry)

  • Full-time, direct employment
  • Hybrid onsite/remote - Newark, NJ
  • No visa sponsorship or C2C at this time

Job Description:

Our client is seeking an experienced Data Modeler with a focus on Fixed Income Products to join their team. The ideal candidate will have a strong background in data modeling and database design, particularly in relational and non-relational databases within the financial industry. The candidate should possess exceptional problem-solving skills, analytical abilities, and a deep understanding of data governance principles.

Responsibilities:

  1. Data Modeling and Database Design: Design, develop, and maintain complex data models for both relational and non-relational databases, with a specific focus on Fixed Income Products within the financial industry.
  2. SQL Proficiency: Demonstrate proficiency in SQL, data querying, and performance optimization techniques to ensure efficient data retrieval and processing.
  3. Data Modeling Tools: Utilize data modeling tools such as Erwin, ER Studio, and DBT to create and manage data models efficiently.
  4. Dimensional and Normalized Data Models: Expertise in building dimensional as well as highly normalized data models for Online Transaction Processing (OLTP) systems to meet business requirements.
  5. Cloud Infrastructure Technologies: Familiarity with cloud infrastructure technologies like containers, Kubernetes, and serverless computing, and their impact on data modeling and database design.
  6. Data Governance: Experience working with Data Governance tools such as Collibra, Informatica to establish and maintain data governance policies, standards, and processes. Build catalogues, business terms, technical metadata, and data lineage for effective data management.
  7. Problem-Solving and Analytical Skills: Demonstrate excellent problem-solving and analytical skills, with the ability to translate complex business requirements into practical and scalable technical solutions.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 7+ years of experience in data modeling and database designing, with at least 5 years focused on Fixed Income Products within the financial industry.
  • Proficiency in SQL, data querying, and performance optimization techniques.
  • Experience with data modeling tools such as Erwin, ER Studio, and DBT.
  • Expertise in building dimensional and normalized data models for OLTP systems.
  • Familiarity with cloud infrastructure technologies and their impact on data management.
  • Experience with Data Governance tools and processes, including catalogues, metadata, and data lineage.
  • Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions.
  • Experience with Snowflake is highly desirable.
  • Certifications in cloud platforms or data management (e.g., AWS Certified Solutions Architect) are highly desirable.

If you meet these qualifications and are passionate about data modeling and database design in the financial industry, we encourage you to apply for immediate consideration.

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