Enterprise Data Architect - Solutioning Suite
At a glance
Mid-level Data Architecture & Governance role at Dematic. Grand Rapids · full-time · $134,250–$205,850 base.
dataroles summary, based on the employer's posting.
What you'll do
- Set the repository’s architecture direction, including its ontology, data models, integration contracts, standards and API design
- Choose the platform technologies and shape how catalogs and project configurations are created, versioned and stored
- Connect catalog and solution data with simulation, emulation, quoting and delivery tools across the solution lifecycle
- Guide roadmap delivery while setting expectations for code quality, testing, releases, reliability and operational readiness
- Work with product, domain and application teams to align technical plans, data contracts and adoption milestones
What you bring
- At least five years building and architecting data-focused, integrated business platforms, including enterprise data architecture
- A bachelor’s in computer science, engineering or a related technical discipline, or equivalent practical experience
- Experience shaping enterprise data ontologies with functional and application leaders, and securing adoption of the resulting design
- A track record of setting technical direction and delivering business outcomes across complex, cross-functional groups
Who this fits
This mid-level role suits an architect who can make platform design decisions and contribute hands-on, while guiding work through ambiguity. You’ll collaborate across product, domain and application teams, and work alongside a tool suite architect. The stated annual base-pay range is $134,250 to $205,850.
From the employer
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 challenges; unblock teams and lead issue resolution with urgency.
Establish measurable engineering KPIs (for example reliability, throughput, quality, and adoption) and use them to guide decisions.
3) Cross-Functional Leadership and Customer Outcome Focus
Partner with Product Management to translate strategic priorities into executable technical plans and roadmap trade-offs.
Collaborate with functional partners to ensure tooling supports compelling, accurate, and scalable solution creation and evolution.
Align with producing and consuming application teams on data contracts, adoption milestones, and readiness criteria for Solution Data Repository ingestion.
Work in parallel with a tool suite architect who has knowledge of product design tools.
What We are Looking For:
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
5+ years of hands-on software architecture and development experience for data-centric integrated business platforms including an enterprise data architecture designed for integration, usability, scalability, and maintainability.
Demonstrated ability to drive the design of scalable enterprise data ontologies, partnering with functional and application leaders, to ensure applicability of the design and subsequent adoption.
Demonstrated success setting technical direction while delivering business outcomes in complex, cross-functional environments.
Strong communication skills with ability to influence technical and non-technical stakeholders.
Preferred Qualifications
Experience in supply chain, warehouse automation, industrial software, or enterprise solutioning domains.
Experience building platforms that connect pre-sales configuration, solution design, and downstream delivery/operations workflows.
Knowledge of model-driven or rules-driven solution design systems and specification generation workflows.
Experience defining and governing shared data models/schemas and API-first integration for multi-team platforms.
Experience integrating with PLM/catalog and configuration systems (for example Teamcenter) and simulation/emulation ecosystems.
Experience with graph database technology and designing enterprise ontologies.
Experience with cloud-native architecture, secure software development, and enterprise integration patterns.
Experience defining engineering governance, quality frameworks, and platform standards at scale.
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