1

Data Modeling Jobs (NOW HIRING)

Data Modeling Senior Associate

Tampa, FL · On-site

$63.50 - $85/hr

Apply data modeling best practices including normalization, dimensional modeling, semantic modeling, and Kimball methodology. * Partner with business stakeholders, product teams, data engineers ...

Data modeling & architecture SME

Vienna, VA · On-site

$64 - $82.25/hr

Define data architecture, standards, and modeling conventions for backend engineering. * Advise developers on schema design, normalization vs. dimensional modeling, and integration patterns.

Data Architect (BI / Data Modeling / Power BI) Location: Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary Skills: Data Architecture, Data Modeling ...

Data Modeler

New York, NY · On-site

$60 - $77.75/hr

ER Studio and Data Modeling expertise, Delivery of Data products leveraging Databricks on AWS, Strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data ...

Data Modeler

Mclean, VA · On-site

$56.25 - $72.75/hr

This role requires strong expertise in SQL, Snowflake, and modern data modeling techniques , alongside domain knowledge in financial services . What You'll Do * Design and maintain conceptual ...

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

Experience with data modeling tools such as ER/Studio, ERwin, or PowerDesigner. * Strong knowledge of SQL and database management systems like Oracle, SQL Server, or MySQL. * Experience/knowledge ...

Data Modeler

Mclean, VA · On-site

$56.25 - $72.75/hr

Snowflake, MongoDB) · Data standards, data management standards and data modeling best practices · Managing DDL and database artifacts in GIT and/or Bitbucket · Developing, testing, and ...

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

Conceptual Data Modeling Logical Data Modeling Physical Data Modeling Dimensional Modeling Data Vault Modeling Star Schema Design Snowflake Schema Design Normalization & Denormalization Techniques ...

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

Conceptual Data Modeling Logical Data Modeling Physical Data Modeling Dimensional Modeling Data Vault Modeling Star Schema Design Snowflake Schema Design Normalization & Denormalization Techniques ...

Showing results 21-40

DATA Modeling information

See salary details

$10

$58

$83

How much do data modeling jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.
More about DATA Modeling jobs

What cities are hiring for Data Modeling jobs?

Cities with the most Data Modeling 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 jobs?

States with the most job openings for Data Modeling jobs include:

Infographic showing various Data Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Data Modeling Senior Associate

Tampa, FL • On-site

DTCC
Finance and Insurance • 1 - 5K employees

$63.50 - $85/hr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Job description


Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.
Pay and Benefits:
  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact You Will Have in This Role
As a Senior Data Architect, you will play a key role in shaping DTCC's enterprise data ecosystem by designing scalable, high-quality data models that power critical business intelligence, analytics, regulatory reporting, and operational decision-making.
You will serve as a trusted advisor to business, product, analytics, and technology teams, translating complex business requirements into robust data solutions while driving data quality, governance, and consistency across enterprise platforms.
This role provides the opportunity to lead the design and evolution of enterprise-scale Snowflake data warehouses while influencing data architecture standards, governance practices, and DTCC's long-term data modernization strategy supporting mission-critical financial markets infrastructure.
Your Primary Responsibilities:
  • Translate business requirements, BRDs, and Agile user stories into scalable logical, physical, and dimensional data models.
  • Design, implement, and optimize enterprise-scale Snowflake data models supporting analytics, reporting, regulatory, and data product initiatives.
  • Profile and analyze source system data using advanced SQL techniques to validate business requirements, identify data quality issues, and uncover data insights.
  • Create and maintain source-to-target mappings, data lineage documentation, metadata artifacts, and governance deliverables.
  • Apply data modeling best practices including normalization, dimensional modeling, semantic modeling, and Kimball methodology.
  • Partner with business stakeholders, product teams, data engineers, architects, and analytics teams to align data solutions with enterprise objectives.
  • Drive data model governance, standards, consistency, and model lifecycle management including schema evolution, refactoring, and metadata management.
  • Lead architecture reviews and facilitate model walkthroughs with technical and non-technical stakeholders.
  • Support enterprise data modernization, cloud transformation, and strategic data platform initiatives.
  • Influence and promote enterprise-wide data architecture standards, patterns, and best practices.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
  • 7+ years of experience delivering enterprise data architecture, data modeling, and data management solutions.
  • 5+ years of hands-on experience designing logical, physical, and dimensional data models.

Talent Needed for Success
Data Architecture & Modeling Expertise
  • Expert-level proficiency with Erwin Data Modeler.
  • Extensive experience designing, implementing, and optimizing enterprise-scale Snowflake data models and data warehouse solutions.
  • Deep understanding of data warehousing concepts, dimensional modeling, and modern analytical architectures.
  • Expertise in normalization, Kimball methodology, semantic modeling, and data governance best practices.
  • Experience managing model evolution, schema changes, column deprecation, data lineage, metadata management, and stakeholder alignment.
  • Experience supporting enterprise data products, analytics platforms, and large-scale reporting ecosystems.

Technical Skills
  • Advanced SQL skills with strong data profiling, analysis, and troubleshooting capabilities.
  • Experience working with cloud-based data platforms and modern data architectures.
  • Strong understanding of data governance, master/reference data management, data quality frameworks, and metadata management best practices.
  • Experience creating source-to-target mappings and maintaining end-to-end data lineage documentation.
  • Experience with Agile delivery methodologies and distributed architecture teams.

Leadership & Collaboration
  • Strong stakeholder management, communication, and relationship-building skills.
  • Ability to influence cross-functional teams and drive alignment across business and technology organizations.
  • Experience leading architecture reviews and promoting enterprise modeling standards and best practices.

Preferred Qualifications
  • Financial Services, Capital Markets, Clearing, Settlement, or Risk Management industry experience.
  • Knowledge of post-trade processing and securities lifecycle data.
  • Experience with data profiling, data quality, or metadata management tools.
  • TOGAF or other data architecture certifications.
  • Experience supporting enterprise-scale analytics and data product initiatives.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About Us
With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC's subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC's Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, X, YouTube, Facebook and Instagram.
DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you'll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It's the chance to make a difference at a company that's truly one of a kind.
Learn more about Clearance and Settlement by clicking here.
About the Team
Serves as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.