À propos
Job Summary: Serve as the senior technical authority for evolving a v1 AWS and Databricks R&D data platform into a scalable, strategy-aligned environment supporting mixed exploratory and GxP-capable workloads. The platform is deployed but early in maturity, with significant opportunity to define coherent data architecture, risk-tiering, and validation-ready design.
Duties and Responsibilities:
Assess and validate the current v1 AWS and Databricks architecture.
Define target-state architecture aligned to enterprise data strategy.
Establish risk-tiering across exploratory, GxP-capable, blinded, and IP-sensitive domains.
Define system boundaries and validation-aligned design principles.
Architect segregation models for accounts, workspaces, and access controls.
Partner with CloudOps to define admin, monitoring, and audit patterns.
Provide architectural guidance to Data Engineering and MLOps.
Align architecture with 21 CFR Part 11, GAMP 5, and privacy requirements where applicable.
Increase internal cloud capability through partnership and knowledge transfer.
Requirements and Qualifications:
10+ years in life sciences technology architecture.
Deep experience with AWS and Databricks.
Direct experience with mixed exploratory and GxP environments.
Experience supporting validation and inspection-readiness.
Preferred Qualifications:
Strong understanding of scientific and drug development data domains.
Desired Skills and Experience AWS, Databricks, Cloud Architecture, Data Platform Architecture, Life Sciences Technology, GxP Compliance, 21 CFR Part 11, GAMP 5, Data Governance, Risk Tiering, Data Security, Access Controls, Cloud Security Architecture, Enterprise Data Strategy, Data Engineering Collaboration, MLOps, Validation-Ready Systems, Inspection Readiness, CloudOps, Monitoring and Auditing, Account and Workspace Segregation, Scientific Data Domains, Drug Development Data, Privacy Compliance, Knowledge Transfer, Technical Leadership
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Compétences linguistiques
- English
Avis aux utilisateurs
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