PHARMACEUTICAL EXPERIENCE MANDATORY
Validation Engineer (Data Lake) Responsibilities:
Qualification Strategy & Validation Leadership
· Lead qualification activities for an enterprise cloud-based Data Lake platform using modern, risk-based CSA methodologies.
· Assess the current architecture, existing validation deliverables, and identify opportunities to simplify and modernize qualification activities while maintaining compliance.
- Develop and implement a scalable qualification model supporting future onboarding of GxP systems, data sources, interfaces, and pipelines.
- Establish sustainable validation and governance procedures supporting both GxP and non-GxP use cases.
Validation Planning & Documentation
· Author and maintain:
o Data Lake Validation Plan
o Requirements Specifications
- Technical Specifications and As-Built Configuration Documentation
- Infrastructure Qualification (IQ) Protocols
- Operational Qualification (OQ) Protocols
- Validation Summary Reports
- Test Summary Reports
· Develop sustainable documentation approaches that leverage platform automation and minimize unnecessary documentation.
Testing & Verification
· Define streamlined testing strategies focused on critical infrastructure and business processes.
· Facilitate and coordinate testing activities executed by the Data and Infrastructure teams.
- Implement targeted verification approaches aligned with CSA principles.
- Ensure validation deliverables support ongoing lifecycle management and change control.
Governance & Lifecycle Management
· Develop and implement governance procedures for the enterprise data platform.
· Establish change control processes supporting:
o GxP data source onboarding
o Data pipeline qualification
- Interface assessments
- Ongoing platform enhancements
· Develop Data Lake Administration SOPs and associated work instructions.
- Support implementation and governance of Power BI solutions used for GxP business processes.
Compliance & Risk Management
· Ensure alignment with:
o GAMP 5 Second Edition
o Computer Software Assurance (CSA) guidance
- 21 CFR Part 11
- EU GMP Annex 11
- Data Integrity requirements
- Good Documentation Practices (GDP)
· Leverage supplier assessments, cloud platform controls, and risk-based verification methodologies.
Requirements:
· Bachelor''''s degree in Computer Science, Engineering, Information Systems, Life Sciences, or related discipline.
· 8+ years of Computer System Validation (CSV), CSA, or IT Compliance experience within pharmaceutical, biotechnology, or regulated environments.
- Strong experience qualifying cloud-based platforms and infrastructure.
- Demonstrated experience implementing risk-based CSA methodologies.
- Deep understanding of:
o GAMP 5 Second Edition
o FDA CSA Guidance
- 21 CFR Part 11
- EU Annex 11
- Data Integrity principles
- Change Management and SDLC processes
· Experience authoring and executing validation documentation.
- Strong stakeholder management and communication skills.
Preferred Qualifications:
Experience with one or more of the following technologies:
· Microsoft Azure
· Azure Data Lake Storage
· Azure Data Factory
· Databricks
· Microsoft Fabric
· Power BI
Additional preferred experience:
· Enterprise Data Lakes
· Data Governance and Data Engineering
- Analytics Platforms
- GxP Data Pipelines and Interfaces
- Infrastructure Qualification
- SaaS, PaaS, and Cloud Validation
- Pharmaceutical Manufacturing, Quality, or R&D systems