3 months ago
Base Salary
$121k - $164k/yr
Responsibilities
- Act as the design authority for Luma-based customer solutions and end-to-end lab orchestration architectures.
- Define application, data, integration, identity, environment, and operational architectures while documenting trade-offs involving cost, complexity, scalability, risk, and sustainability.
- Design integrations across scientific informatics, data infrastructure, instruments, workcells, robotic platforms, enterprise systems, and lab automation schedulers.
- Define data ingestion, transformation, migration, lineage, auditability, and compliance strategies for high-frequency heterogeneous laboratory data.
- Architect workflows that progress from experiment planning through scheduling, execution, and data capture with minimal manual intervention.
- Own non-functional requirements covering performance, scalability, security, resilience, observability, accessibility, internationalisation, and maintainability.
- Design security, high availability, disaster recovery, monitoring, alerting, and post-go-live operational approaches for connected laboratory environments.
- Advise customers, Sales, PreSales, Product, Engineering, Cloud Operations, Siemens, and delivery partners on solution scope, risks, and architecture.
- Review designs and implementations, create reusable reference architectures and integration templates, and provide technical guidance to architects and delivery teams.
- Enable partners and act as an escalation point for complex multi-vendor lab automation and scientific software architecture issues.
Requirements
- 10+ years of experience scoping automated scientific workflow-based solutions and designing enterprise-grade SaaS or hybrid architectures.
- Advanced understanding of integration patterns, APIs, data pipelines, distributed systems, and event-driven architectures.
- Experience with Databricks and Apache NiFi.
- Familiarity with SiLA2, LADS, and OPC-UA lab automation connectivity standards and protocols.
- Experience integrating ELN, LIMS, SDMS, PLM, ERP, MES, instrument data, and lab automation scheduling systems across IT and OT environments.
- Understanding of scientific R&D workflows, laboratory automation, instrument scheduling, sample tracking, and workcell automation.
- Experience in customer-facing consulting or professional services roles.
- Experience working with system integrators or technology partners in enterprise delivery models.
- Architecture certifications such as TOGAF or cloud architecture certifications are a plus.
- Experience in regulated environments and knowledge of GxP, FDA, ISO, SOC 2, GDPR, 21 CFR Part 11, or ALCOA+ are a plus.
- Exposure to Siemens products or lab automation scheduling platforms and vendor ecosystems is a plus.
Benefits
- Medical, dental, vision, and other insurance benefits.
- Health Spending Accounts.
- Wellness benefits including mental health apps and fitness perks.
- Company-paid life and disability insurance.
- 401k retirement plan with a 4% company match and immediate vesting.
- Flexible Time Off Plan for US exempt employees.
Tech Stack
Databricks
Categories
Solutions Engineering
About Dotmatics
Dotmatics builds cloud-based R&D scientific software that unifies biology, chemistry, and data management workflows for biopharma, chemicals/materials companies, and academic labs; products include Luma, ELN, GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives. The company sells SaaS and enterprise licenses for data integration, analysis, and decision support, is headquartered in Boston, and operates as a Siemens company following its acquisition.