Senior Snowflake Platform Engineer

• United States
  - Pennsylvania
  - Collegeville
• United States
  - New York
  - New York City

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting‑edge smart technology that profoundly impacts the lives of our patients.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

Responsible for technical ownership, strategic leadership, and enterprise enablement of the organization’s Snowflake data platform. This role serves as the primary subject‑matter expert (SME) for Snowflake, guiding platform evolution, supporting regulated workloads, enabling application teams, and maximizing the value of Snowflake’s advanced analytics and AI capabilities across the enterprise. This role operates at the intersection of platform engineering, architecture, vendor partnership, and community leadership, with broad impact across Digital, Data, and AI initiatives.

• Act as the enterprise Practice Lead and Principal Engineer for the Snowflake platform, providing technical direction and decision‑making authority.
• Assume leadership of the Snowflake environment following prior platform leadership transitions, ensuring continuity and stability.
• Own platform‑level decisions that impact enterprise‑scale and regulated workloads, including GxP and SOX‑aligned environments.
• Provide deep expertise on Snowflake capabilities, including AI, Cortex, adaptive warehouses, multi‑region deployments, and cost optimization patterns.
• Advise downstream application and solution teams on Snowflake architecture patterns, migrations, and best practices.
• Partner with architecture and platform teams to ensure Snowflake is tightly integrated into the broader enterprise ecosystem.
• Drive innovation through proofs of concept and advanced platform features, including AI‑driven agents, natural language interaction, and automation.
• Lead or contribute to platform extensions that simplify usage, improve supportability, and enhance developer experience.
• Guide platform readiness for new Snowflake releases by assessing scope, risk, and impact.
• Serve as a key technical partner to Digital, business, architecture, and delivery teams across the organization.
• Work directly with the Snowflake vendor and Resident Solution Architects on escalations, roadmap alignment, and feature adoption.
• Lead enterprise communications around Snowflake features, changes, and deprecations to a large global user base.
• Ensure Snowflake platform implementations meet enterprise compliance, security, and data protection standards, including regulated GxP workloads.
• Partner with platform support teams to optimize monitoring, ticketing integration, and operational efficiency.
• Act as a go‑to expert and mentor for Snowflake engineers and platform team members.
• Lead technical interviews and skill assessments for Snowflake‑related roles.
• Foster an active Snowflake community of practice through knowledge sharing, sessions, and best‑practice dissemination.

• BA/BS preferably in computer science or related discipline with at least 6 years of experience; or MBA/MS with at least 5 years of experience; or PhD/JD with 1 year of experience.
• Strong knowledge of the Snowflake Data Cloud including Dynamic Tables, Snowpipe Streaming, Snowpark/Container Services, Hybrid Tables, Data Sharing, Replication, Iceberg, Openflow, and more.
• Strong SQL skills tailored to Snowflake, including window functions, semi‑structured data handling (e.g., JSON, XML), UDFs, and time travel, and knowledge of query optimization techniques such as clustering keys, materialized views, and caching strategies.
• Deep hands‑on expertise with Snowflake platform capabilities and enterprise‑scale implementations, particularly Snowflake Cortex AI capabilities.
• Python…