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Senior Data Modeler Jobs (NOW HIRING)

Svam International, Inc.

Sr Data Modeler

Mclean, VA · On-site

URGENT REQUIREMENT Sr. Data Modeler Location: McLean, VA Type: 12+ Contract (Onsite Position) Candidates who are already local to the McLean, VA area are strongly preferred. Responsibilities: * Core ...

sydata

Sr Data Modeler

Irving, TX · On-site

Role: Sr Data Modeler Location: Dallas/Irving Area, TX Duration: 6+ Months Minimum 8 -10 years' experience in overall IT Rich experience in Database and Data Modeling Minimum 4 years of experience in ...

sydata

Sr Data Modeler

Irving, TX · On-site

Role: Sr Data Modeler Location: Dallas/Irving Area, TX Duration: 6+ Months • Minimum 8 -10 years' experience in overall IT • Rich experience in Database and Data Modeling • Minimum 4 years of ...

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How much do senior data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for senior data modeler in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

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Senior Data Modeler jobs near you
Infographic showing various Senior Data Modeler job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Sr Data Modeler

Mclean, VA • On-site

Svam International, Inc.
IT Services • 51 - 200 employees
Learn more about Svam International, Inc.external

Other

Posted 26 days ago

Job description

URGENT REQUIREMENT

Sr. Data Modeler

Location: McLean, VA

Type: 12+ Contract

(Onsite Position)

Candidates who are already local to the McLean, VA area are strongly preferred.

Responsibilities:

  • Core, hands-on experience in enterprise data modeling with data modeling serving as the candidate's primary responsibility and not simply exposure as part of a Data Engineering role.
  • Recent hands-on experience with MongoDB, including designing or working with document-based data models.
  • Strong mortgage domain experience with recent and consistent involvement in mortgage-related projects. Experience supporting Freddie Mac or Fannie Mae is highly preferred.
  • Strong proficiency in SQL and hands-on experience with Snowflake.
  • Experience modeling JSON and other semi-structured data.
  • Solid understanding of data integration, ETL, and enterprise data architecture.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across both technical and business teams.
  • Demonstrated leadership qualities, including the ability to think independently, solve problems proactively, and contribute ideas rather than simply executing assigned tasks.

Nice to Have

  • Experience with multi-family mortgage or housing finance data
  • Familiarity with data governance and data quality frameworks
  • Exposure to cloud-based data platforms beyond Snowflake
  • Experience working in consulting or client-facing environments

Reminder: Please submit the following in the notes section when you submit the resume

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  • Github Link(Include in Resume):
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  • Location of the Candidate (Include in Resume):
  • Prepared for onsite interview (Y/N):
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  • Start Date Availability
  • Legally Authorized to work In USA :
  • Require Sponsorship:
  • Visa Status:
  • Name of the reporting manager, and reporting managers LinkedIn. Additionally, please include the candidates project group or business line.
  • Interview Availability:

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Regards,

Kapil Thapa
Sr. Manager US IT Recruitment

SVAM International | 233 East Shore Road | Suite # 201,Great Neck, NY 11023

Cell: ext 108| Fax: | Email: |

CMMI Level 5 | ISO 9001:2008 |ISO 27001:2013 Company | LISA Award winner

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