Data Architect

The ideal candidate is a strategic thinker who excels at translating complex business requirements into effective data solutions. You’ll partner with business leaders and technical teams to establish data standards, evaluate emerging technologies, and create a roadmap for the future of our data ecosystem.

What You’ll Do

• Design, develop, and maintain enterprise data architecture frameworks, standards, and best practices.
• Create conceptual, logical, and physical data models to support business applications and analytics.
• Develop strategies for data warehousing, data acquisition, data integration, archiving, and recovery.
• Evaluate and recommend new data sources, platforms, and technologies to improve scalability and performance.
• Define data structures, attributes, naming conventions, and governance standards across the organization.
• Analyze data and statistical information to identify trends, patterns, relationships, and opportunities for improvement.
• Research and evaluate data sources, assessing reliability, usability, and integration capabilities.
• Collaborate with business unit leaders to understand current and future data needs.
• Design and develop code solutions to improve applications, reporting, and data processes.
• Create detailed reports, dashboards, and presentations to communicate findings and recommendations.
• Establish data architecture foundations that support application development and enterprise systems.
• Lead data modeling initiatives and guide teams on best practices for organizing and interpreting data.
• Research emerging technologies and develop migration strategies for legacy platforms and data structures.
• Mentor team members and provide leadership on data architecture, design, and governance initiatives., Physical: Primary functions require sufficient physical ability and mobility to work in an office setting; to stand or sit for prolonged periods of time; to occasionally stoop, bend, kneel, crouch, reach, and twist; to lift, carry, push, and/or pull light to moderate amounts of weight 50 lbs; to operate office equipment requiring repetitive hand movement and fine coordination including use of a computer keyboard; to travel to other locations using various modes of private and commercial transportation; and to verbally communicate to exchange information.

• Bachelor’s degree in Computer Science, Information Technology, Management Information Systems (MIS), or a related field required.
• Master’s degree preferred., * 10+ years of experience in information architecture, data architecture, data sourcing, distribution analysis, data modeling, and system design.
• 10+ years of experience with conceptual and logical data modeling, including relational and dimensional modeling techniques.
• 5+ years of hands-on data modeling experience.
• Strong proficiency with SQL and database technologies.
• Deep understanding of enterprise data architecture, reporting architecture, and data management principles.
• Experience designing scalable, high-performing data solutions.
• Ability to translate complex technical concepts into language that business stakeholders can understand.
• Proven ability to work effectively across cross-functional and matrixed organizations.
• Demonstrated success influencing stakeholders and driving organizational change.

Skills & Competencies

• Strategic thinker with strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Strong leadership, collaboration, and relationship-building capabilities.
• Skilled in stakeholder management, negotiation, and influencing without formal authority.
• Passion for continuous improvement and emerging technologies.

Preferred Certifications

• Relevant cloud, database, or data architecture certifications are a plus.
• Valid driver’s license required.

Why Join Us?

You’ll have the opportunity to shape the future of our enterprise data strategy and build the foundation that enables smarter business decisions across the organization. If you’re passionate about designing modern data environments and solving complex business challenges through data, we’d love to hear from you.