Enterprise Data Architect Solutioning Suite

• Career Development

• Competitive Compensation and Benefits

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• Global Opportunities

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The base pay range for this role is estimated to be $134250 to $205850 at the time of posting. Final compensation will be determined by various factors such as work location education experience knowledge and skills.

What Youll 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:

• 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.

• 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.

• 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:

• Bachelors 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.

• 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.