Director, Solution Engineer, Data Storage and Registration

Role Summary

Discovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation.

We’re looking for a Solution Engineer to own data storage and registration for integrative biology research. This is a hands-on role: you’ll design, build, and maintain the capabilities that determine how biological research data gets stored, registered, and accessed. You’ll partner with the aligned capability lead to scope and prioritize what gets built, and work across scientific, product, and engineering stakeholders to deliver solutions that are secure, scalable, and useful for researchers.

You’ll work hands-on in AWS and GCP, building storage and data services that span both clouds and hold large omics datasets (genomics, transcriptomics, proteomics, imaging). You’ll need depth in large-scale data management and cross-cloud integration, plus enough scientific fluency to earn credibility with computational biologists and engineers alike.

Reporting to the Principal Engineer, Integrative Biology Solutions, you’ll define the technical direction for data storage and registration within the Integrative Biology space, aligning with scientific strategy, regulatory requirements, and enterprise architecture. You’re expected to be hands-on writing and reviewing real code, not just directing while also setting the standards and patterns that guide contractors and cross-functional teams. You’ll lead contractor teams as needed to extend capacity.

You’re the primary technical owner: individual engineering depth combined with cross-functional leadership. The problems are real, large-scale, heterogeneous scientific data with strict regulatory requirements, and the solutions need to hold up at research scale.

Key Responsibilities

• Own and Lead Data Storage and Registration Solutions: own data storage and registration end-to-end: design, implementation, and maintenance. Work with the Capability Lead to prioritize and scope features. Lead contractors as needed to extend capacity.
• Oversee Data Storage, Registration, and Scientific Data Stewardship: design and implement scalable data storage, experiment registration, metadata, provenance, lineage, access control, and findability capabilities. Set the storage, metadata, and stewardship standards that make Integrative Biology omics data trustworthy, reusable, and AI-ready across AWS and GCP.
• Define Standards and Best Practices: establish and maintain standards, architectural patterns, and governance frameworks for the capability area. Get them documented and adopted by delivery teams and contractors.
• Collaborate with Capability Lead and Business Stakeholders: work closely with the R&D capability lead to understand business needs, translate scientific requirements into technical solutions, and keep the backlog prioritized. Be the technical partner scientists and product stakeholders can rely on.
• Lead Contractor Teams and Drive Delivery: direct contractors as needed: provide technical guidance, review their work, and hold the line on quality, scope, and timelines.
• Provide Technical Guidance and Architecture Leadership: make and document key technical decisions, review designs and implementations, and guide technical direction for contractors and cross-functional partners in the capability area.
• Drive Innovation, Continuous Improvement, and Operational Excellence: identify and address technical debt, performance issues, and security gaps. Keep the platform moving forward in line with changing research and business needs.
• Solve Highly Complex and Cross-Disciplinary Problems: solve complex data engineering and storage challenges: large-scale heterogeneous scientific data, demanding research workflows, and the compliance requirements that come with a regulated environment.
• Build and Operate Cross-Cloud Storage and Data ...

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