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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. We are looking for a hands-on Senior Integration Architect who will design and build modern integration solutions across our enterprise systems. This role combines architecture, standards definition, and hands-on iPaaS development (Workato preferred). The ideal candidate understands when to use APIs vs events vs file-based vs EDI etc. and can translate that into scalable patterns and real working integrations. Data Architecture is a secondary but important part of this role—focused on data flow design, payload modeling, and ensuring integrations deliver high-quality, well-structured data to consuming systems.
Job Responsibility:
Define and govern enterprise integration patterns and decision frameworks (e.g., API, EDI, event-driven, file/SFTP, Workato orchestrations)
Architect complex end-to-end integrations spanning ERP (e.g., SAP S/4), SaaS, data platforms, and MES
Establish rigorous standards for API contracts, event schemas, cataloging, error handling, observability, and security
Develop reusable integration components and enforce best practices across development teams
Build, test, and deploy integrations using Workato or comparable iPaaS platforms
Create reusable recipes, connectors, and accelerators
Troubleshoot and optimize existing flows for superior performance, reliability, and maintainability
Provide immediate, hands-on support for critical production incidents
Design comprehensive source-to-target data mappings and integration payload structures
Ensure integrations deliver clean, complete, and high-quality data to consuming analytical systems (e.g., Snowflake, Foundry)
Document data lineage for critical integration flows (excluding full enterprise-wide data modeling)
Collaborate with Data Engineering teams to align integration patterns with analytical requirements
Partner with functional teams, product owners, and application developers to translate business processes into robust integration flows
Provide architectural oversight and conduct rigorous peer reviews
Influence application teams toward adopting clean-core extensibility and scalable integration patterns
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