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Senior Data Modeler Jobs in Indiana (NOW HIRING)

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

Deliver data products in presentation format to customers. * Work on ad-hoc data requests ... Intuition for and experience with predictive modeling a plus. Additional Information

Sr Data Visualization Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

Conduct analysis for mapping source inputs and assist in design strategy for data modeling * Daily maintenance support of dashboards Education Qualification * Bachelor's degree from accredited ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... thorough data architecture strategies that meet current and future business needs. As a Senior ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ... Set the architectural standards, modeling conventions, and data quality frameworks that the whole ...

AWS Data Engineer - Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

Job Title: Senior AWS Data Engineer Location: Indianapolis, IN Role Overview We are seeking a ... Build and optimize data models within a Databricks Lakehouse architecture * Ensure data governance ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Deep understanding of data modeling, transformation logic, and pipeline architecture * Experience ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level) About the Role An organization in South ... Deep understanding of data modeling, transformation logic, and pipeline architecture * Experience ...

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... modeling and directed acyclic graphs (DAGs) for efficient data organization and processing ...

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Senior Data Modeler information

See Indiana salary details

$34

$64

$80

How much do senior data modeler jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for senior data modeler in Indiana is $64.33, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $72.98 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.
What are the most commonly searched types of Data Modeler jobs in Indiana? The most popular types of Data Modeler jobs in Indiana are:
What are popular job titles related to Senior Data Modeler jobs in Indiana? For Senior Data Modeler jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Data Modeler jobs in Indiana look for? The top searched job categories for Senior Data Modeler jobs in Indiana are:
What cities in Indiana are hiring for Senior Data Modeler jobs? Cities in Indiana with the most Senior Data Modeler job openings:
What are popular job titles related to Senior Data Modeler jobs in IN? For Senior Data Modeler jobs in IN, the most frequently searched job titles are:

$113K - $135K/yr

Full-time

Posted 9 days ago


Job description

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof:
  • 2025 Great Places to Work Certified
  • Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation)
  • Company paid parental leave
  • Generous time off package
  • Multiple benefit plans, eligibility begins on day one of employment
  • Culturally focused on work/life balance, and the overall wellness of our employees

This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship.
Position Summary
The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decision-making.
Essential Duties and Responsibilities
• Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.
• Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine
• Use statistical tools to interpret data sets, pay particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
• Collaborate with programmers and engineers to improve efficiency and data organization; improve performance through data structure and query optimization
• Ensure data integrity, quality, and security across all systems and platforms
• Work with departments to provide insight and identify opportunities, improvements, recommend system modifications, and develop policies for data governance
• Integrate structured and unstructured data from internal and external sources.
• Monitor and troubleshoot data workflows, resolving issues proactively
• Design, implement, and maintain critical data systems from ETL/ELT, Data Warehouse, BI Tools, and everything in between
• Maintain documentation for data architecture, processes, and standards
• Collaborate with data scientists, analysts, and product teams to support data needs.
• Analyze requirements from the business and provide solutions or guidance for solutions
• Work with senior data analyst to establish data governance
Non-Essential Duties and Responsibilities
• Perform other duties as assigned
Education and Qualifications
• Bachelor's degree in computer science, information systems, engineering, or related field.
• 2 to 5 years' experience as a data engineering role
• Familiarity with professional programming preferred
• Familiarity with relevant business domains
• Ability to analyze large datasets and write comprehensive reports
• Experience in data models and reporting packages
• Experience working with data and data analytics development, preferably within the Microsoft data platform
• Ability to understand business needs and translate them into technical solutions
• Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value
• Proficiency in SQL and experience with relational and non-relational databases
• Proficient with ELT/ETL and Data Warehousing development
• Knowledge of relational databases and object-relational mapping concepts
• Commitment to data quality, governance, and compliance
• Understanding of data modeling, normalization, and schema design
• Excellent organizational skills: ability to handle multiple projects
• An analytical mind and inclination for problem-solving
• Strong verbal and written communication skills
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The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.
It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at HRDepartment@dmainc.com or 800-309-2110 and choosing selection 6.