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