Principal Solutions Architect | Lab Orchestration

Dotmatics
$121,497 - $164,378Remote

About The Position

At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics. Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future. We are Science Driven. We are Customer Centric. We are Better Together.

Requirements

  • 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
  • Advanced understanding of integration patterns, APIs, data pipelines, and distributed systems — including event-driven architectures suitable for real-time instrument and automation data
  • Experience with data platforms (Databricks) and integration tools (Apache NiFi)
  • Ability to reason about performance, scalability, and failure modes across heterogeneous, multi-system environments
  • Familiarity with lab automation connectivity standards and protocols (SiLA2, LADS, OPC-UA) and their architectural implications
  • Experience integrating complex application landscapes (ELN, LIMS, SDMS, PLM, ERP, MES, instrument data systems, lab automation schedulers) across heterogeneous customer IT and OT environments
  • Understanding of how digital workflow systems connect to physical lab execution — including instrument scheduling, sample tracking, and workcell automation
  • Scientific R&D workflows and data, particularly in life sciences, pharma/biotech, or regulated lab environments
  • Appreciation of the practical realities of laboratory automation — what it means for an experiment to go from planned to actually running on an instrument
  • Comfortable acting as the most senior technical voice in the room
  • Able to explain complex architectural decisions — including digital-physical integration trade-offs — to scientific, IT, and operational audiences
  • Experience working in customer-facing consulting or professional services roles
  • Experience working with system integrators or technology partners in enterprise delivery models
  • Comfortable defining guardrails rather than prescribing every implementation detail
  • Able to balance enablement with governance in partner-led engagements

Nice To Haves

  • Degree in Computer Science, Engineering, or a related technical or scientific field
  • Architecture certifications (TOGAF, cloud architecture)
  • Experience in regulated environments (GxP, FDA, ISO, SOC 2, GDPR) including 21 CFR Part 11 and ALCOA+ data integrity requirements for automated lab systems
  • Exposure to Siemens digital industry products (Opcenter, Teamcenter, SIMATIC, or Industrial IoT/MindSphere)
  • Familiarity with lab automation scheduling platforms (e.g., Green Button Go, Momentum, Overlord, Cellario, SAMI) and/or liquid handling/instrument vendor ecosystems

Responsibilities

  • 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
  • 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
  • Ensure architectural consistency across multiple customer engagements
  • Make and document architectural trade-offs considering cost, complexity, scalability, risk, and long-term sustainability
  • Shape functional requirements in collaboration with Scientific Architect and Application Scientists, including workflow automation requirements that span study design through instrument-level execution
  • Own non-functional requirements including performance, scalability, security, resilience, observability, accessibility, internationalisation, and maintainability
  • Translate business and scientific needs into robust technical architectures, including requirements for automated, auditable lab workflows in regulated environments
  • Design integration approaches using technologies such as Apache NiFi, APIs, batch pipelines, and event-driven patterns — including real-time instrument data streams and workcell status events
  • Define data ingestion, transformation, and migration strategies that accommodate the high-frequency, heterogeneous data generated by automated lab environments
  • Architect solutions that enable experiments to transition seamlessly from planned → scheduled → executing → data captured with minimal manual intervention, leveraging Luma as the orchestration layer
  • Define integration patterns with lab automation and scheduling platforms (e.g., Thermo SiLA/SAMI, Tecan FluentControl, Overlord, Momentum, Synthace) and instrument connectivity layers (SiLA2, LADS, OPC-UA, vendor APIs)
  • Architect solutions leveraging Databricks, including configuration via Databricks SQL, for aggregation and analysis of instrument and experimental data at scale
  • Ensure data lineage, auditability, and regulatory compliance across the full experimental data lifecycle, from instrument output through to structured scientific records
  • Support visualisation and analytics patterns using tools such as Sigma for Databricks
  • Architect Luma solutions that integrate with customer enterprise systems including: ELNs (Dotmatics & third-party), LIMS, SDMS, PLM, ERP, MES, instrument data systems, and lab automation schedulers
  • Define how Dotmatics fits within broader Siemens landscapes, including Teamcenter, Mendix, Opcenter, and SIMATIC, particularly in environments where scientific R&D and industrial/manufacturing processes converge
  • Scope and design integrations with third-party scientific platforms including ELN/LIMS providers (e.g., Benchling, LabVantage, IDBS, LabWare), scientific data analysis tools (e.g., Spotfire, JMP, Pipeline Pilot, Geneious), and lab automation platforms — ensuring coherent data flow and workflow continuity across the full stack
  • Define sample tracking, workcell scheduling, and instrument connectivity architectures as part of broader lab orchestration solution design
  • Apply security best practices covering IAM, data protection, tenancy, and compliance, including considerations specific to connected lab environments and OT/IT boundary management
  • Design for high availability, resilience, and disaster recovery
  • Define observability strategies including logging, monitoring, and alerting — extended to cover automated lab execution environments and instrument connectivity layers
  • Ensure architectures are operable by support and cloud teams post go-live
  • Act as senior technical advisor to customers, including IT leadership, enterprise architects, and lab automation/informatics leads
  • Partner with Sales and PreSales during solution shaping, scoping, and risk assessment — including technical qualification of lab orchestration opportunities and defining the boundary between digital and physical automation scope
  • Represent Dotmatics architecture in joint Siemens engagements and architecture forums, particularly where Luma's orchestration capabilities complement Siemens industrial automation and digital factory solutions
  • Work with Siemens and non-Siemens partners as a peer architect ensuring architectural alignment across joint delivery models
  • Provide architectural guidance to other Solution Architects, Technical Leads, Application Scientists, and Delivery Partners on lab orchestration patterns and integration architectures
  • Review designs and implementations for architectural compliance
  • Raise the overall architectural maturity of the Dotmatics Professional Services organisation and partner ecosystems, including in the emerging discipline of connected and automated lab design
  • Create reusable architectural artefacts including reference architectures, lab orchestration integration templates, instrument connectivity patterns, and design decision frameworks
  • Act as the architectural authority for partner-led implementations of the Dotmatics Luma platform, including orchestration-heavy deployments involving lab automation hardware and third-party scientific software
  • Enable system integrators, Siemens partners, and regional delivery partners through architectural guidance, design reviews, and technical enablement sessions
  • Define reference architectures, integration patterns, and implementation guardrails for partners — including guardrails for digital-physical integration scope and instrument connectivity standards
  • Support partner onboarding by defining "how Luma should be implemented" from an architectural and non-functional perspective
  • Ensure partner-delivered solutions meet Dotmatics and Siemens standards for scalability, security, operability, and maintainability
  • Collaborate with Partner, Sales, and Services leadership to define where Dotmatics retains architectural ownership
  • Act as an escalation point for complex architectural issues arising in partner-led engagements, including those involving multi-vendor automation environments

Benefits

  • Medical, Dental, Vision, Insurance
  • Health Spending Accounts
  • Wellness Benefits (Mental Health Apps and Fitness Perks)
  • Company-paid Life and Disability Insurance
  • 401k Retirement Plan (with 4% company match; immediate vesting)
  • Flexible Time off Plan (for US exempt employees)
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