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Principal Architect, Platform & Data Lake

8 hours, 59 minutes ago
United States
Full-time
Lead
Data Architect
DevOps and Infrastructure
AWS CI/CD Kubernetes MLOps OpenID Connect SAML
Apply Now
TetraScience

TetraScience

TetraScience is the only vendor neutral, open, cloud native platform purpose built for science, providing next generation lab data automation and scientific data management to accelerate scientific discovery and improve human life.

Biotechnology
51-250
Founded 2019
$99M raised
View All Jobs 8

Description

  • Own platform architecture and technical direction across enterprise platform, scientific search, AI/ML ops, developer platform, lakehouse, partner integrations, and cloud infrastructure.
  • Define and evolve enterprise tenancy, identity, access control, compliance, admin controls, and tenant onboarding for a multi-tenant SaaS environment.
  • Architect search systems across keyword, semantic, and hybrid retrieval, including indexing pipelines and relevance standards.
  • Design AI/ML infrastructure for model serving, agentic primitives, embedding services, and production MLOps standards.
  • Build and improve internal developer platform capabilities, including CI/CD standards, SDK principles, golden paths, and adoption metrics.
  • Improve developer productivity by reducing friction from commit to deployment and increasing local and production environment parity.
  • Own lakehouse platform architecture, including schema evolution, IDS design standards, and data access layers for downstream AI and pipeline workloads.
  • Define integration architecture and reference patterns for lab instrument vendors and AI model partners, including security boundaries and self-service onboarding.
  • Lead cloud infrastructure architecture, cost governance, observability, and service health monitoring.
  • Close cross-team architectural gaps before they become business risks and document decisions that span multiple teams.

Requirements

  • 12+ years of software engineering experience, including at least 5 years at the staff or principal level in a SaaS platform or data infrastructure context.
  • Deep architecture ownership in at least one of the two core profiles: enterprise data and AI platforms, or data, knowledge, and developer products.
  • Meaningful range across the broader architecture scope, with coverage of a majority of the eight domains being the expected bar.
  • Demonstrated ownership of enterprise authentication and authorization at scale, including SAML, OIDC, fine-grained RBAC, and multi-tenant SaaS.
  • Hands-on experience building and operating AI/ML model serving infrastructure under production load.
  • Experience designing and operating search platforms for keyword, semantic, or hybrid retrieval over large structured or semi-structured datasets.
  • Hands-on experience with data lake architectures at scale, including Delta Lake or Apache Iceberg, schema evolution, partition pruning, and cost-performance trade-offs.
  • Infrastructure fluency on AWS with Kubernetes or ECS, including the ability to diagnose cost anomalies and drive corrective action.
  • Ability to write and defend architecture decisions through RFCs, trade-off documents, and design reviews.
  • Strong cross-team communication skills and comfort operating across strategy, architecture, and operations in the same week.
  • Experience in regulated industries such as biopharma, medtech, or financial services, where compliance and data residency are core constraints.
  • Familiarity with scientific data platforms, ELN/LIMS systems, laboratory informatics ecosystems, or instrument-data constraints.
  • Experience designing and operating internal developer platforms as a product, including roadmap ownership, adoption metrics, and deprecation strategy.
  • Experience building partner integration programs at the architecture level, including connector SDKs, reference implementations, and certification criteria.
  • Exposure to lab instrument ecosystems 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.

Benefits

  • Competitive compensation with equity.
  • Unlimited PTO.
  • Company-paid Life Insurance, LTD, and STD coverage.
  • 401(k) retirement plan.

Interested in this position?

Apply directly on the company website

Apply Now

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