Dematic is building a next-generation Solutioning Suite to help our project teams implement end to end design, engineering, and management of customer-specific solutions with speed, quality, and confidence. We are seeking an enterprise data architect to define and implement the technical architecture for a Solution Data Repository, the foundational data platform for the Solutioning Suite. The Solution Data Repository will serve as digital thread or single source of truth for all solution-related data from lead qualification and solution design through implementation, commissioning, and long-term maintenance/support and enable the use of AI at enterprise scale.

This role requires both deep technical architecture experience and highly effective multi-functional communication and collaboration. The successful candidate is equally comfortable setting platform direction, making critical design decisions, aligning with stakeholders, and doing hand-on implementation work. This role presents a great opportunity to design and build an enterprise data solution from the ground up with much opportunity for career growth. It will appeal to someone with deep curiosity and someone who thrives on leading through ambiguity.

We offer:

• Career Development

• Competitive Compensation and Benefits

• Pay Transparency

• Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250 to $205,850 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

What You'll Own:

• Technical vision including integration models and engineering standards.
• Architecture design, including schema/hierarchy, catalog strategy, technology, and API contracts.
• Implementation, including tech stack and toolset selection.
• Delivery strategy for a multi-year platform roadmap.
• Engineering quality, reliability, and secure-by-design practices from initial build through ongoing operations.

What You Will Do in this Role:

1) Vision, Architecture, and Platform Strategy

• Define and maintain the technical vision, architecture principles, and engineering strategy for the Solution Data Repository.
• Lead the design and development of an enterprise ontology to inform the technical architecture.
• Establish robust design patterns, integration contracts, and data standards that enable lifecycle continuity from pre-sales to downstream execution and support.
• Own architecture decisions for core platform capabilities, including modeling/configuration, workflow orchestration, specification generation, and system interoperability.
• Define the technical approach for evolution, including where catalogs and project-specific configurations are authored, versioned, and persisted.
• Drive practical interoperability between catalog/SDF sources and downstream tools (for example simulation, emulation, software quoting, and delivery systems).
• Ensure platform design balances flexibility for customer-specific solutions with standardization for reuse, quality, and speed.
• Partner with product and domain leaders to align platform evolution with market needs, customer outcomes, and commercial priorities.
• Ensure platform design supports use of AI at enterprise scale, including context, semantics, and metadata.

2) Engineering Execution and Technical Governance

• Lead planning and execution of platform milestones, balancing near-term delivery with long-term scalability and maintainability.
• Implement and enforce engineering lifecycle standards, code quality practices, release discipline, and operational readiness criteria.
• Drive modern software engineering practices, including CI/CD, automated testing, observability, and risk-based release governance.
• Act as escalation point for complex technical challe