Principal Engineer, HighByte

**Position Overview**

Join us to shape the future! As the Principal Engineer, HighByte, you will serve as the system owner for the HighByte Intelligence Hub across our global network-defining standards, leading architecture, and enabling compliant, high‑performance manufacturing data solutions that power analytics and decision making.

You will translate executive vision into actionable architectures, build and govern our Unified Namespace (UNS), and drive contextualization aligned to ISA‑95/ISA‑88-integrating data across OT/IT, MES, LIMS, QMS, CMMS, ERP, and cloud platforms. If you're passionate about architecting enterprise‑grade industrial data capabilities in regulated environments, this is your stage.

• *Company Overview**

The work we do at FUJIFILM Biotechnologies has never been more important-and we are looking for talented candidates to join us. We are growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people's lives.

Join FUJIFILM Biotechnologies and help make the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. We are proud to cultivate a culture that will fuel your passion, energy, and drive - what we call Genki.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: https://www.fujifilm.com/us/en/about/region/careers

• *Job Description**

What you'll do

+ Lead strategy and roadmaps: Advise on Industry 4.0 and manufacturing data strategies; develop multi‑year roadmaps for UNS, event‑driven architectures, OT/IT convergence, and cloud/hybrid patterns.

+ Define enterprise standards: Establish ISA‑95/ISA‑88‑aligned contextualization models, topic hierarchies, naming conventions, and canonical payload standards to ensure interoperability and reusability.

+ Own the HighByte platform: Govern standards, configurations, lifecycle, change control, documentation, versioning, scalability, and platform health.

+ Orchestrate data integration: Design and guide Industrial DataOps pipelines across PLC/SCADA/DCS, historians, MES/LIMS/QMS/CMMS/ERP, cloud data platforms, and APIs.

+ Embed compliance by design: Apply GAMP5/CSA, CSV deliverables (URS, risk, testing, traceability), and ALCOA+ data integrity; support audits/inspections and CAPAs.

+ Monitor performance: Define and track KPIs (latency, throughput, reliability, schema adherence); implement observability and alerting for UNS and pipelines.

+ Manage risk: Identify architectural risks, technical debt, and deviations; lead trade‑off analyses and mitigation plans.

+ Translate and deliver: Convert business needs into designs; produce architecture artifacts; coordinate with internal teams and vendors; enable change readiness and knowledge transfer.

+ Enable people and partners: Liaise with Manufacturing, QA/ITQ, Automation/OT, Cybersecurity, Enterprise Architecture, and external SIs; build playbooks and training.

+ Innovate and improve: Evaluate edge, streaming, and schema registry patterns; pilot and scale improvements that enhance reliability, compliance, and analytics outcomes.

Minimum requirements

+ Bachelor's degree in Engineering, Computer Science, Data Science, or related field; or an equivalent combination of education and experience.

+ Typically 12+ years of related experience with a Bachelor's; or 8+ years with a Master's; or PhD with 5+ years; or equivalent experience.

+ Within the above, 6+ years in Industry 4.0/manufacturing data, including OT environments, historians, IT/OT integration, and cloud/hybrid infrastructure.

+ Strong hands‑on experience with HighByte Intelligence Hub, UNS architectures, and ISA‑95/ISA‑88‑aligned data models in regulated life‑sciences or comparable industries.

+ Experience with platform monitoring and lifecycle management.

Preferred requirements

+ Experience with DataOps and streaming frameworks (MQTT/Kafka/AMQP), schema registries, and integration tooling.

+ Familiarity with FAIR data principles; data quality, lineage, and observability tooling.

+ Validation expertise (GAMP5/CSA, CSV deliverables); audit/inspection support experience.

+ Cloud data platforms and analytics integration (e.g., Azure/AWS/GCP services).

+ Relevant certifications in data/architecture/OT (e.g., ISA/IEC), and project or Agile methods (PMP/PRINCE2/Scrum).

What you'll influence

+ Enterprise architecture and standards across sites and functions

+ Compliance posture, data reliability, and analytics enablement in regulated environments

+ Technology selection, investment recommendations, and vendor/system integrator alignment

The US salary range for this position is $146,000 to $210,000. Pay within this range varies by work location and may also depend on