Principal Solutions Architect | Lab Orchestration [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solutions Architect | Lab Orchestration based in United States.

You will join a highly specialized Professional Services organization operating at the intersection of scientific informatics, enterprise architecture, and lab automation. The role focuses on designing end-to-end lab orchestration solutions that connect digital scientific workflows with physical laboratory execution systems. You will act as a senior architectural authority, shaping how experiments are planned, scheduled, executed, and analyzed across complex R&D environments. The position requires deep expertise in distributed systems, integration architectures, and data platforms to support high-volume, heterogeneous scientific data flows. You will collaborate with scientific experts, enterprise architects, and automation stakeholders to define scalable and compliant architectures. This role directly influences how modern laboratories evolve into fully connected, automated ecosystems that accelerate scientific discovery.

Accountabilities:

• Serve as the design authority for end-to-end lab orchestration architectures, ensuring seamless integration between scientific informatics platforms, data infrastructure, and automated lab environments. Define logical and physical architecture models spanning applications, data flows, identity, integrations, and operational layers.
• Architect digital-to-physical laboratory workflows, enabling experiments to move from planning and scheduling through instrument execution and data capture with minimal manual intervention. Ensure architectural consistency across multiple customer engagements.
• Define integration strategies using APIs, event-driven patterns, batch pipelines, and middleware technologies such as Apache NiFi. Design scalable data ingestion, transformation, and migration approaches for high-frequency lab data.
• Lead enterprise integration design across ELN, LIMS, SDMS, PLM, ERP, MES, and instrument systems. Establish orchestration patterns that unify lab automation, scheduling platforms, and scientific data ecosystems.
• Own non-functional requirements including scalability, performance, resilience, observability, security, compliance, and long-term operability. Ensure auditability and data lineage across the scientific data lifecycle.
• Define cloud and analytics architecture using platforms such as Databricks and visualization tools such as Sigma, enabling scalable scientific data analysis.
• Act as a senior advisor to customers and internal stakeholders, supporting solution shaping, technical governance, and risk assessment. Represent architecture standards in joint ecosystem engagements.
• Provide technical leadership across internal teams and partners by defining reference architectures, reusable patterns, and architectural guardrails for lab orchestration solutions.

Requirements:

• 10+ years of experience designing enterprise-grade architectures, ideally including scientific informatics, lab automation, or complex workflow-based systems in regulated or R&D environments.
• Strong expertise in distributed systems, API design, event-driven architectures, and data pipelines supporting large-scale, heterogeneous environments.
• Hands-on experience with data platforms such as Databricks and integration tools such as Apache NiFi.
• Knowledge of lab automation and connectivity standards such as SiLA2, OPC-UA, or similar protocols, with understanding of instrument-level integration challenges.
• Proven experience integrating complex enterprise ecosystems including ELN, LIMS, SDMS, PLM, ERP, MES, and laboratory automation systems.
• Strong understanding of scientific R&D workflows, particularly in life sciences, biotech, or regulated laboratory environments.
• Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders, including scientific, IT, and operational audiences.
• Experience working with partners, system integrators, or multi-stakeholder delivery ecosystems, balancing governance with enablement.
• Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical/scientific discipline preferred.

Benefits:

• Competitive base salary aligned with market benchmarks and experience level, with potential for variable compensation
• Comprehensive medical, dental, and vision insurance coverage
• Health spending accounts and wellness benefits, including mental health and fitness support
• Company-paid life and disability insurance
• 401(k) retirement plan with company match and immediate vesting
• Flexible time off policy supporting work-life balance
• Remote-friendly work environment with global collaboration opportunities
• Participation in impactful scientific innovation initiatives at scale

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.