Senior Snowflake Platform Engineer

Role Overview

• 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

Requirements

• 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 features such as Dynamic Tables, Snowpipe Streaming, Snowpark/Container Services, Hybrid Tables, Data Sharing, Replication, Iceberg, Openflow, etc.
• Strong SQL skills tailored to Snowflake, including window functions, semi-structured data handling (e.g., JSON, XML), UDFs, and time travel
• Deep hands-on expertise with Snowflake platform capabilities and enterprise-scale implementations, particularly Snowflake Cortex AI capabilities
• Python skills and mastery of working with and reading code
• Knowledge of Snowflake access methods (OAuth., PAT, local accounts, ODBC, JDBC) and security features (roles, policies, masking) for access/security troubleshooting

Tech Stack

• Cloud
• Python
• SQL

Benefits

• 401(k) plan with Pfizer Matching Contributions
• Additional Pfizer Retirement Savings Contribution
• Paid vacation
• Holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage