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Dotmatics

Principal Solutions Architect | Lab Orchestration

RemoteUnited States only
Published
Experience
Principal
Company size
Enterprise
$121.5k–$164.4k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Principal Solutions Architect with 10+ years scoping automated scientific workflow solutions and designing enterprise-grade SaaS or hybrid architectures. Needs scientific informatics/lab automation context, strong integration/data architecture, Databricks, Apache NiFi, APIs, data pipelines, and distributed systems. Remote USA only.

Core skills

DatabricksApache NiFiLab orchestration

Required skills

APIsData pipelinesDistributed systemsEvent-driven architecturesSiLA2LADSOPC-UAELNLIMSSDMSPLMERPMES

Optional skills

TOGAFGxPFDAISOSOC 2GDPR21 CFR Part 11ALCOA+

What you'll do

  • 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
  • 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
  • Design integration approaches using technologies such as Apache NiFi, APIs, batch pipelines, and event-driven patterns
  • 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
  • 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, 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 scientific data analysis tools (e.g., Spotfire, JMP, Pipeline Pilot, Geneious), and lab automation platforms
  • 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
  • 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
  • Represent Dotmatics architecture in joint Siemens engagements and architecture forums
  • 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
  • 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

What they require

  • 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
  • Advanced understanding of integration patterns, APIs, data pipelines, and distributed systems — including event-driven architectures suitable for real-time instrument and automation data
  • Technical Architecture
  • 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
  • Enterprise & Lab Systems Exposure
  • 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
  • Scientific Domain Appreciation
  • 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
  • Leadership & Communication
  • Able to explain complex architectural decisions — including digital-physical integration trade-offs — to scientific, IT, and operational audiences
  • Partner and Ecosystem Experience
  • 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
  • Preferred: Architecture certifications (TOGAF, cloud architecture)
  • Preferred: Experience in regulated environments (GxP, FDA, ISO, SOC 2, GDPR) including 21 CFR Part 11 and ALCOA+ data integrity requirements for automated lab systems
  • Preferred: Exposure to Siemens digital industry products (Opcenter, Teamcenter, SIMATIC, or Industrial IoT/MindSphere)
  • Preferred: Familiarity with lab automation scheduling platforms (e.g., Green Button Go, Momentum, Overlord, Cellario, SAMI) and/or liquid handling/instrument vendor ecosystems

Benefits

  • 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
  • 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)
  • Certain positions are also eligible for variable pay

R&D scientific software company in the US

🇲🇽 MexicoLife SciencesEnterprisedotmatics.com
$121.5k–$164.4k/yr