Principal Architect, Platform & Data Lake
RemoteUnited States
Job Summary
Own the platform architecture and growth scaling across Enterprise Platform, Scientific Search, AI/ML Ops, Developer Platform, Lakehouse Platform, Partner Integrations, and Cloud Infrastructure. Set technical direction for multi-tenant authn/authorization, search retrieval pipelines, model serving infrastructure, and data lake standards while closing architectural gaps before they become business risks. Drive operational excellence by defining SLOs, enforcing cost governance with chargeback attribution, and publishing reference architectures for lab instrument and AI model partners. Achieve documented authn/authorization systems passing enterprise security reviews, establish clear SDKs for scientific use cases, and evolve IDS to open standards with schema-on-write enforcement. This senior IC leadership role supports TetraScience's transition from product-market fit to rapid scaling of AI-native scientific data workflows for biopharma customers.
Required Qualifications
- 12+ years in software engineering
- at least 5 at staff or principal level in a SaaS platform or data infrastructure context
- Deep architecture ownership in at least one of the two fingerprint profiles above, with meaningful range across the other
- Coverage of a majority of the eight domains
- Demonstrated ownership of enterprise authentication and authorization systems at scale: SAML, OIDC, fine-grained RBAC across a multi-tenant SaaS product
- Hands-on experience with AI/ML serving infrastructure
- Search architecture experience
- Hands-on experience with data lake architectures at scale: Delta Lake or Apache Iceberg
- Infrastructure fluency on AWS with Kubernetes or ECS
- Ability to write and defend architecture decisions: RFCs, trade-off documents, design reviews
- Strong cross-team communication
- Comfort operating across strategy, architecture, and operations in the same week
Desired Qualifications
- Experience in regulated industries (biopharma, medtech, financial services) where compliance and data residency are first-class architecture constraints built in from the start
- Familiarity with scientific data platforms, ELN/LIMS systems, or laboratory informatics ecosystems, including the structural constraints of instrument data
- Experience designing and operating internal developer platforms as a product: roadmap, adoption metrics, deprecation strategy
- Experience building partner integration programs at the architecture level: connector SDKs, reference implementations, integration certification criteria, and the developer experience that makes external parties self-sufficient
- Exposure to lab instrument ecosystems (proprietary data formats, on-prem agent deployment, vendor certification workflows) or analogous hardware-adjacent integration work in medtech or industrial IoT
- Prior experience as a founding or early platform architect at a Series B–D SaaS company scaling to enterprise
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