Data Architect - Hybrid - Indianapolis, IN

Job Description

Job Description

Data ArchitectAbout aFit

At aFit, we believe great people power great organizations. We connect talented professionals with opportunities where they can make a meaningful impact while continuing to grow their careers. Our team is committed to matching skilled individuals with organizations that value innovation, collaboration, and professional development.

About the Role

aFit is seeking a Data Architect to support a large-scale enterprise data and analytics environment serving multiple business units and stakeholders across a complex organization.

This individual will play a key role in shaping enterprise data strategy, architecture, governance, and modernization efforts. We're looking for someone who has built a broad foundation across the data landscape, including data architecture, data governance, integration, warehousing, analytics, metadata management, data quality, and cloud-based data platforms.

The ideal candidate brings 2-3 minimum  years of progressive experience working with enterprise data ecosystems and understands how to balance technical architecture with governance, business needs, and long-term scalability. This is an excellent opportunity for a data professional who enjoys influencing enterprise data strategy while remaining hands-on with modern data technologies.

What You'll DoData Architecture & Strategy

Help define how enterprise data is structured, managed, and leveraged across the organization.

• Design and maintain conceptual, logical, and physical data models.
• Establish enterprise data architecture standards, frameworks, and best practices.
• Develop scalable solutions that support reporting, analytics, operational systems, and future growth.
• Evaluate emerging technologies and recommend improvements to enterprise data capabilities.
• Support cloud modernization and long-term data transformation initiatives.

Data Governance & Data Management

Help establish trusted, well-governed data across the enterprise.

• Support enterprise data governance initiatives, policies, and standards.
• Participate in metadata management, data cataloging, and stewardship programs.
• Help define data ownership, accountability, and governance processes.
• Support enterprise master data management and reference data initiatives.
• Promote consistent data management practices across business and technical teams.

Data Integration & Engineering

Ensure enterprise data is accessible, reliable, and aligned across systems.

• Architect and support scalable ETL/ELT and data integration solutions.
• Work within Microsoft Azure and Azure Databricks environments.
• Integrate data across applications, databases, and enterprise platforms.
• Support data warehouse, analytics, and reporting ecosystems.
• Improve performance, reliability, and scalability of existing data solutions.

Data Quality & Compliance

Drive confidence in organizational data through strong quality and governance practices.

• Establish and support data quality standards and processes.
• Identify and resolve data integrity, consistency, and accuracy issues.
• Help implement controls that support security, privacy, and compliance requirements.
• Develop repeatable processes for monitoring and improving enterprise data quality.
• Partner with stakeholders to address data-related challenges and opportunities.

Collaboration & Technical Leadership

Connect business goals with sustainable enterprise data solutions.

• Partner with business leaders, analysts, engineers, and technology teams.
• Translate business requirements into scalable architectural solutions.
• Communicate technical concepts effectively to technical and non-technical audiences.
• Provide guidance on enterprise data standards, architecture, and governance practices.
• Contribute to strategic planning and enterprise modernization initiatives.

Additional Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent experience.
• Strong understanding of enterprise data governance principles and best practices.
• Experience working across multiple data disciplines, including architecture, governance, integration, analytics, and quality management.
• Ability to influence stakeholders and drive alignment across technical and business teams.
• Strong communication, problem-solving, and relationship-building skills.

Work Environment & Travel

• Hybrid role based in Indianapolis, Indiana.
• Contract-to-hire opportunity.
• Collaboration with cross-functional business and technology teams.
• Occasional onsite participation may be required based on project needs.

Why This Role Matters

Data is one of the organization's most valuable assets. As a Data Architect, you will help establish the frameworks, standards, and solutions that enable trusted, accessible, and actionable data across the enterprise. Your work will directly contribute to improved decision-making, stronger governance practices, and the successful modernization of critical data platforms and services.