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Principal Solutions Architect (Lab Orchestration)

Dotmatics · United States

External listingfull-timeabout 1 month ago

About The Role

Join Dotmatics, the world's largest cloud-based scientific research R&D platform. As a Principal Solutions Architect, you will be a senior technical authority responsible for defining and governing end-to-end solution architectures. You will ensure that solutions meet rigorous non-functional requirements and act as the design authority for Luma-based customer solutions. Your work will have a tangible impact on accelerating scientific progress and discovery.

  • Act as the design authority for Luma-based customer solutions, including end-to-end lab orchestration architectures that span scientific informatics, data infrastructure, and physical lab systems.
  • Define logical and physical architectures covering applications, data, integrations, identity, environments, and operations, ensuring architectural consistency across multiple customer engagements.
  • Architect solutions that bridge the digital and physical lab — connecting experiment planning, protocol authoring, and scheduling through to execution on automated instruments, workcells, and robotic platforms.
  • 10+ years with scoping automated scientific workflow-based solutions, designing enterprise-grade SaaS or hybrid architectures, ideally including experience with scientific informatics, lab automation, or connected laboratory environments, you may hold a Degree in Computer Science, Engineering, or a related technical or scientific field, and advanced understanding of integration patterns, APIs, data pipelines, and distributed systems — including event-driven architectures suitable for real-time instrument and automation data
  • Familiarity with lab automation connectivity standards and protocols (SiLA2, LADS, OPC-UA) and their architectural implications
  • Ability to reason about performance, scalability, and failure modes across heterogeneous, multi-system environments
  • Experience with data platforms (Databricks) and integration tools (Apache NiFi)
  • Understanding of how digital workflow systems connect to physical lab execution
  • Experience integrating complex application landscapes (ELN, LIMS, SDMS, PLM, ERP, MES, instrument data systems, lab automation schedulers) across heterogeneous customer IT and OT environments
  • Comfortable defining guardrails rather than prescribing every implementation detail
  • Able to explain complex architectural decisions — including digital-physical integration trade-offs — to scientific, IT, and operational audiences
  • Appreciation of the practical realities of laboratory automation — what it means for an experiment to go from planned to actually running on an instrument
  • Experience working with system integrators or technology partners in enterprise delivery models
  • Able to balance enablement with governance in partner-led engagements
  • Scientific R&D workflows and data, particularly in life sciences, pharma/biotech, or regulated lab environments
  • Architecture certifications (TOGAF, cloud architecture)
  • Exposure to Siemens digital industry products (Opcenter, Teamcenter, SIMATIC, or Industrial IoT/MindSphere)
  • Experience in regulated environments (GxP, FDA, ISO, SOC 2, GDPR) including 21 CFR Part 11 and ALCOA+ data integrity requirements for automated lab systems
  • Familiarity with lab automation scheduling platforms (e.g., Green Button Go, Momentum, Overlord, Cellario, SAMI) and/or liquid handling/instrument vendor ecosystems

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