Revolution Medicines · 10 hours ago
Staff Architect – Data & AI Platforms
San Francisco Bay Area
Full-time
Onsite
Lead/Staff
$164K/yr - $205K/yr
12+ years expRevolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies. They are seeking a Staff Architect – Data & AI Platforms who will define and advance the technical architecture of their enterprise data and AI ecosystem, working closely with various teams to build scalable solutions.
Health CareLife ScienceMedical
Responsibilities
Define, evolve, and own the enterprise Data & AI reference architecture across AWS, Azure, and Databricks, supporting discovery, translational, clinical, commercial, and enterprise workloads, including research-grade and GxP use cases
Design and validate scalable end-to-end data architecture patterns across ingestion, storage, transformation, analytics, and AI/ML
Establish and validate lakehouse standards (Bronze/Silver/Gold), metadata, lineage, and AI-ready Gold datasets through working reference implementations
Make principled architectural decisions across data models, storage formats, and table designs (e.g., Delta Lake, Apache Iceberg), balancing performance, cost, schema evolution, governance, and compliance
Build early reference implementations (V0–V0.9) that prove architectural paths before they are scaled by delivery teams
Define clear architectural guardrails and reusable patterns that enable teams to scale consistently without sacrificing scientific flexibility
Partner closely with Data Product Managers operating in a Hub-and-Spoke model to translate domain needs into concrete technical designs
Provide architectural blueprints and reference pipelines enabling reusable, high-quality domain data products (e.g., Compound & Library, Assay, Sample, Omics, Study, Patient/Subject, CRO Data Exchange)
Define and implement shared enterprise GenAI and agentic AI capabilities, including embeddings, vector stores, retrieval-augmented generation (RAG), agent orchestration frameworks, and ML lifecycle primitives
Ensure GenAI systems are grounded in governed RevMed data products, are secure and auditable, and can be reused across scientific, clinical, commercial, and operational workflows
Establish architectural standards and best practices across cloud infrastructure, data platforms, AI/ML platforms, and software engineering
Define and validate DevOps, DataOps, MLOps, and CloudOps patterns, including CI/CD, observability, data quality, lineage, model lifecycle guardrails, cost management, and security practices
Partner closely with computational and analytical teams across R&D and clinical functions to ensure platforms support real-world scientific workflows from exploratory analysis to production-grade pipelines
Provide hands-on technical leadership to internal engineers, contractors, and consulting partners, ensuring alignment with RevMed standards and effective knowledge transfer
Qualification
Required
12+ years of experience in architecture and hands-on engineering roles spanning data platforms, cloud infrastructure, AI/ML systems, and software engineering
Deep hands-on experience with Databricks (Delta Lake, Unity Catalog, DLT, MLflow)
Hands-on experience with GenAI, RAG, vector databases, and agentic systems
Strong experience designing and building platforms on AWS and Microsoft Azure
Proven ability to translate architectural designs into working implementations
Strong collaboration skills across product, science, engineering, and external partners
Advanced degree in Computer Science, Bioinformatics, Engineering, or related discipline
Experience in life sciences, biotech, or pharma R&D data environments
Benefits
Competitive cash compensation
Robust equity awards
Strong benefits
Significant learning and development opportunities
Company
Revolution Medicines
Revolution Medicines is an innovative and dynamic organization of expert biologists, chemists, pharmacologists, clinical scientists.
501-1000 employees
H1B Sponsorship
Revolution Medicines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (18)
2023 (15)
2022 (8)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Royalty PharmaBoxer CapitalNextech Invest
2025-06-24Post Ipo Debt· $250M
2024-12-02Post Ipo Equity· $750M
2023-03-02Post Ipo Equity· $323.6M
Leadership Team
Luan Wilfong
Chief Human Resources Officer
Steve Kelsey
President
Recent News
Pharmaceutical Technology
2026-01-13
Company data provided by crunchbase