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Data Modeling Director Jobs in Indiana (NOW HIRING)

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

Develop scalable data models for investment reporting, portfolio analytics, and capital markets ... direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants ...

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Develop scalable data models for investment reporting, portfolio analytics, and capital markets ... direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants ...

Deckers

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems. Reports To: Director, Technology & Continuous Improvement ...

Petersen Inc.

AI Engineer

Indianapolis, IN · On-site

$100 - $130/hr

Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems. Reports To: Director, Technology & Continuous Improvement ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems. Reports To: Director, Technology & Continuous Improvement ...

Munich Re

Principal Data Scientist - FCAS

Carmel, IN · On-site +1

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Munich Re

Principal Data Scientist - FCAS

Evansville, IN · On-site +1

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

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Data Modeling Director information

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 key skills and qualifications needed to thrive as a Data Modeling Director?

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 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.

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 are the most commonly searched types of Data Modeling jobs in Indiana?

The most popular types of Data Modeling jobs in Indiana are:

What are popular job titles related to Data Modeling Director jobs in Indiana?

For Data Modeling Director jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Data Modeling Director jobs in Indiana are:

What cities in Indiana are hiring for Data Modeling Director jobs?

Cities in Indiana with the most Data Modeling Director job openings:

Data Modeling Director jobs near you

Data Engineer

Merchants Bank of Indiana

Carmel, IN

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Description

Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.


Our Data Engineer will be able to do the following confidently and independently...

  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements


What we are looking for...

  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:

  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more 



About Merchants


Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.

Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here.

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