Principal Architect – Platform, Data Lake
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Job Description
Principal Architect responsible for platform architecture and scaling for scientific data and AI in biopharma at TetraScience. Drive technical direction and oversee enterprise-grade capabilities in a rapidly growing environment.
Responsibilities:
- Own the platform architecture, evolution and growth scaling across Enterprise Platform, Scientific Search, AI/ML Ops, Developer Platform, Developer Productivity, Lakehouse Platform, Partner Integrations and Cloud Infrastructure.
- Set technical direction, own the decisions that cross team boundaries, and close architectural gaps before they become business risks.
- Oversee enterprise Platform, Scientific Search, AI/ML Ops, Developer productivity, Lakehouse platform, and Cloud Infrastructure.
- Ensure operational excellence based on a clear O11y architecture rolled out, with every production service having SLOs defined, monitored and managed.
- Achieve strong product-market fit and traction while expanding industry partnerships and developer experience.
Requirements:
- 12+ years in software engineering, with 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 is the bar.
- Demonstrated ownership of enterprise authentication and authorization systems at scale: SAML, OIDC, fine-grained RBAC across a multi-tenant SaaS product. You have been the person who got paged when auth broke, not just the person who designed it.
- Hands-on experience with AI/ML serving infrastructure: you have built and operated model inference pipelines under production load.
- Search architecture experience: you have designed and operated a search platform that handles diverse query types (keyword, semantic, or hybrid) across large structured or semi-structured datasets.
- Hands-on experience with data lake architectures at scale: Delta Lake or Apache Iceberg, schema evolution patterns, partition pruning, and the trade-offs between query performance and storage cost.
- Infrastructure fluency on AWS with Kubernetes or ECS. You can read a cost anomaly report, trace it to a root cause, and produce an action within the same week.
- Ability to write and defend architecture decisions: RFCs, trade-off documents, design reviews.
- Strong cross-team communication. You can write a document that produces alignment without a follow-up meeting to explain the document.
- Comfort operating across strategy, architecture, and operations in the same week: setting a multi-year architecture direction and reviewing a runbook gap are both in scope.
Benefits:
- Competitive compensation with equity
- Unlimited PTO
- Company-paid Life Insurance, LTD/STD
- 401(k)
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