Lead Solution Architect, Product Engineering & PLM (Hybrid - United States)

Acuity Inc. • Atlanta, GA

98d • $150,900 - $271,600

About The Position

Acuity seeks a highly motivated and experienced Product Engineering / Product Lifecycle Management (PLM) Solution Architect to lead the architecture, integration, and modernization of our enterprise Product Lifecycle Management (PLM) and Product Engineering space. The Lead Solution Architect, Product Engineering & PLM, is critical in shaping how Acuity manages product data from design to commercialization—ensuring systems are scalable, interconnected, and aligned with our long-term digital strategy. They work cross-functionally with Product Engineering, Design Engineering, Product Management, Manufacturing, Sourcing, and Enterprise Architecture teams to enable high-performing product and data ecosystems that drive agility, quality, and innovation. This role directly supports Acuity’s Better, Faster, Smarter transformation goals.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in enterprise solution architecture with a strong focus on PLM, PIM, and product data ecosystems in a global B2B model.
• Deep expertise in PTC Windchill PLM, including product structures, change/configuration management, and BOM management (eBOM, mBOM, pBOM translations).
• Hands-on experience with CAD/EDA integrations across Creo, SolidWorks, Altium, and ThingWorx, enabling seamless design-to-manufacturing workflows.
• Proven track record leading Altium upgrades and integrations with Git repositories, Windchill, and enterprise systems.
• Strong background in Product Information Management (PIM) for product catalog syndication, attribute enrichment, and commerce/ERP alignment.
• Demonstrated success in data governance, product master data management, and global data migration initiatives, ensuring accuracy, compliance, and scalability.
• Expertise in integration architectures using MuleSoft, RESTful APIs, and event-driven systems for cross-platform connectivity.
• Strong understanding of .NET technologies, including .NET Core & .NET Framework.
• Experience with Agile development methodologies.
• Skilled in Azure cloud-native architecture, containerization (Docker, Kubernetes), and microservices-based design.
• Proficiency with Azure DevOps (ADO) for CI/CD pipelines, automated testing, and infrastructure-as-code (ARM/Bicep).
• Strong understanding of Agile/Scrum methodologies, including backlog management, sprint ceremonies, and delivery transparency.
• Excellent communication and leadership skills, proven ability to align cross-functional stakeholders across Engineering, Manufacturing, ERP, and Commerce.
• Available to work onsite and travel based on business needs.

Responsibilities

• Serve as the key point of contact & solution architect for the product engineering domain - across all product areas, including Parts & Components, Product Catalog, Bills of Materials (BoMs), CAD integrations, and Product Master Data (PIM).
• Design and evolve scalable architecture for managing multi-level products, configurable products, and engineering hierarchies within PLM systems (e.g., PTC Windchill) and PIM systems.
• Enable end-to-end integration between CAD/EDA tools (e.g., Altium, SolidWorks, PTC Creo) and PLM platforms to support design traceability and digital thread workflows.
• Lead the selection, integration, and governance strategy for Product Lifecycle Management (PLM) platforms that support the global product engineering team, product catalog syndication, and attribute enrichment.
• Build seamless product data flows between engineering (PLM), commerce (PIM), Integration (ex, MuleSoft), ERP, MDM, and customer-facing applications.
• Establish and standardize processes for creating, managing, and distributing high-quality Product Master Data.
• Drive integration architecture using MuleSoft, RESTful APIs, or similar platforms to ensure robust, secure connectivity across systems.
• Incorporate monitoring and analytics tools (e.g., Grafana, ElasticSearch, Power BI) to support operational transparency and product data service reliability.
• Explore and apply Generative AI to accelerate attribute creation, component matching, and intelligent product metadata transformation.
• Partner with security, data governance, and business stakeholders to enforce standards, ensure compliance, and support scalable innovation.
• Serve as an advisor and thought leader across product and engineering domains, enabling teams to execute efficiently on complex data and system requirements.
• Define standards for architecture documentation using modeling tools, methods, and industry best practices – C4 models, etc.
• Perform duties with minimal supervision, manage multiple priorities effectively, and delegate tasks as needed.
• Guide other engineers and inspire team members to achieve individual and team goals.
• Lead the organization to design, develop & deploy Generative AI applications, integrating with various enterprise-grade semantic search across document repositories.
• Implement DevOps automation, including CI/CD pipelines, infrastructure provisioning (IaC), and deployment strategies.
• Build high-performance RESTful APIs and streaming microservices for real-time data processing and distribution.

Benefits

• Health care
• Dental coverage
• Vision plans
• 401K benefits
• Commissions/incentive compensation depending on the role

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree