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Senior Data Modeler Jobs (NOW HIRING)

The Sr. Data Modeler must have experience in: Developing logical and physical data models, in Traditional Data Stores (e.g. DB2, Oracle) and in NoSQL (e.g. Snowflake, MongoDB) Data standards, data ...

New

I have an opportunity for a "Senior Data Modeler" - Jersey City, NJ (Remote till COVID). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated ...

Senior Data Modeler Location: Remote Duration: 6+ Months Key Skills Required: * Strong SQL experience (Must have) * 2+ years of Data Modeling experience * Experience with Entity Modeling tools such ...

Senior Data Modeler

Lynnwood, WA ยท On-site

$50 - $55/hr

Senior Data Modeler -- Enterprise Analytics & Data Platforms Location: Morristown, NJ (Hybrid -- 3 days/week onsite) We're looking for a Senior Data Modeler (7+ years) to design, develop, and ...

Senior Data Modeler

Lynnwood, WA ยท On-site

$50 - $55/hr

Senior Data Modeler -- Enterprise Analytics & Data Platforms Location: Morristown, NJ (Hybrid -- 3 days/week onsite) We're looking for a Senior Data Modeler (7+ years) to design, develop, and ...

Senior Data Modeler

Bemidji, MN ยท Remote

$40/hr

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

Senior Data Modeler

Lynnwood, WA ยท On-site

$50 - $55/hr

Senior Data Modeler -- Enterprise Analytics & Data Platforms Location: Morristown, NJ (Hybrid -- 3 days/week onsite) We're looking for a Senior Data Modeler (7+ years) to design, develop, and ...

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

Sr. Data modeler Remote We are seeking an experienced Data Modeler with 10+ years of experience in * Designing and implementing enterprise-scale data models * Strong expertise in Supply Chain ...

New

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

Senior Data Modeler

Fargo, ND ยท Remote

$40/hr

No Department Details Summary The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational ...

* Senior Data Modeler (Enterprise CDM Owner - Cross Asset) * Senior Data Modeler / Domain Model Lead - Enterprise Common Domain Model (CDM), Capital Markets Role Type: * Internal enterprise product ...

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Senior Data Modeler information

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$35

$67

$84

How much do senior data modeler jobs pay per hour?

As of Jul 15, 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 jobs in the US pay 300,000 a year?

Senior Data Modelers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL and Python can reach annual salaries of $300,000 or more, especially in high-demand industries such as finance or technology. Such roles often require advanced degrees, certifications, and a strong track record of managing complex data systems.

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.

How much does a data modeler make?

A senior data modeler typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. They often require strong skills in data architecture, modeling tools, and database management systems. Compensation may also include benefits and opportunities for professional development.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data modeler or entering data science, as skills and experience are more important. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Continuous learning and practical experience are key factors for career advancement regardless of age.

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.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but senior data modelers are essential for designing complex data structures, ensuring data quality, and making strategic decisions. Human expertise remains critical for interpreting business needs and validating models, making complete replacement unlikely in the near term.

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

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.
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Sr. Data Modeler

Valiant Tek Group, Inc

Dallas, TX โ€ข On-site

Other

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Job description

DUE TO THE COMPLEXITY OF THE JOB WE CURRENTLY ACCEPTING USC
 
Job Description: Sr. Data Modeler
Location: Dallas, TX / Mclean, VA(On-Site)
Duration : Long Term
 
 
The Sr. Data Modeler will work closely with project teams to understand business requirements and provide data modeling subject matter expertise. Strong quantitative and analytic skills are required.
 
The Sr. Data Modeler must have experience in:
 
Developing logical and physical data models, in Traditional Data Stores (e.g. DB2, Oracle) and in NoSQL (e.g. 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 implementing scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models
Promoting data models into production metadata environments
Supporting DDL implementations
Supporting multiple efforts concurrently, in Waterfall, Agile or Modern Delivery.
Visual Basic macro development and SQL
SQL Querying of databases
Physical database structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio or ERWin
ER/Studio Data Architect or ERWin, minimum 4 years; Collibra Metadata Management Tool
Mortgage/finance industry data modeling; Use of the MISMO Mortgage Data Standard
Supporting XML and JSON Schemas design and modeling
 
 
 
Educational and Work Requirements
 
Bachelor s degree from an accredited university with coursework in Business, Information Technology, or Engineering.
8-10 years of data modeling and metadata management experience.
Experience with relational, dimensional and NoSQL data modeling
Experience with data management standards and data model practices
Experience with query capabilities such as Visual Basic macro development and SQL
Experience with physical data structure design in DB2, UDB, Oracle, Sybase, Snowflake, Postgres, MongoDB and/or SQL Server using ER/Studio DA or Erwin
Experience using ClearCase, GIT, Remedy, ER/Studio DA (Or ERWin)
Mortgage/finance industry data modeling experience
 
 
 
Additional Qualifications
 
Proven ability to quickly earn the trust of key stakeholders
Thrives in an environment with changing priorities
Sound business and technical acumen
Focused and versatile team player that is comfortable under pressure
Excellent problem-solving and critical-thinking skills
Able to navigate through a large corporate environment and ensure appropriate processes are met.
 
EDUCATION
Bachelor s Degree in Computer Science, Information Systems, Engineering or related field or equivalent work experience.