Solutions Architect

Required Skills & Experience • 5–8+ years of experience in enterprise business systems, solution architecture, or business systems analysis within manufacturing environments • Hands‑on experience supporting manufacturing data domains, including orders, invoices, line items, and channel performance • Strong understanding of enterprise data structures, data mapping, and data modeling • Experience working across enterprise platforms including: • ERP (SAP or similar) in a manufacturing context • CRM (Salesforce or comparable) • Ecommerce and digital channels • Contact center platforms (Five9, AWS Connect, or similar) • Integration/middleware tools (Boomi, SAP CPI, AWS Glue, Lambda, etc.) • Ability to conceptually integrate data across multiple ERPs and manufacturing systems • Experience supporting customer‑facing and operational analytics, including line‑item and order‑to‑invoice analytics • Strong systems thinker who understands dependencies between source systems, data products, and KPIs • Experience supporting multi‑tier manufacturing sales and distribution models(manufacturer → distributor / channel partner → end customer) • Excellent communication skills; able to translate data and system concepts into business language • Experience working in Agile / SAFe environments • US‑based and open to limited travel (~20%) Nice to Have Skills & Experience • Experience with data‑as‑a‑product or enterprise data strategy initiatives • Exposure to modern data platforms (e.g., Iceberg tables, Snowflake) • Experience partnering with centralized data or analytics platform teams • Exposure to AI‑enabled analytics, CRM copilots, or contact center intelligence SAFe, Agile, or architecture certifications Job Description Our client in the Manufacturing industry is building a customer‑facing enterprise data ecosystem that serves as a universal data layer across multiple ERPs and channels. They are seeking a Business Systems Process Engineer with deep manufacturing domain experience to help define how business data is structured, standardized, and delivered as trusted data products that power analytics and KPIs across the enterprise. This is a business‑focused, architecture‑level role centered on understanding how manufacturing data flows across ERP, CRM, ecommerce, and contact center systems — and ensuring KPIs accurately reflect real operational and commercial performance. Key Responsibilities • Partner with manufacturing, commercial, and analytics teams to define enterprise data products that support trusted KPIs • Serve as the bridge between manufacturing business processes, source systems, and analytics • Lead discovery sessions to understand how manufacturing data objects (orders, invoices, line items, customer interactions) are created and consumed • Define data mappings, data models, and conceptual solution architectures across manufacturing systems • Evaluate KPIs to ensure they accurately represent manufacturing and channel performance • Support analytics use cases across ecommerce, channel partners, and contact center data • Help identify and address data quality issues across manufacturing systems • Create and present system maps, data flows, and conceptual architecture artifacts • • Educate stakeholders on how manufacturing data flows and why standardization matters