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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data infrastructure and product management, with a strong focus on building and mentoring high-performing teams. Proficient in SQL, ETL/ELT patterns, and AI-assisted capabilities to drive enterprise-scale data platform initiatives.
Highest-signal resume keywords
Data Infrastructure ManagementProduct Management Team LeadershipEnterprise-Scale Data PlatformsSQL Execution and ETL/ELT PatternsAI-Assisted Capabilities
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationPlatform MigrationData IngestionWorkflow OrchestrationDeclarative PipelinesAutomated Pipeline RefactoringSemantic ValidationLLM-Driven RefactoringArchitectural ScalabilityRoadmap Development
Soft Skills
MentoringCross-Functional AlignmentDecision-MakingCommunicationCustomer Engagement
Industry Keywords
Data GovernanceLegacy ModernizationAutomated Code TranslationQuery EnginesData Architecture
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- Own Snowflake’s Data Transformation product portfolio
- Define the strategic roadmap across platform migration, data ingestion and engineering, semantic layers, context, ontology, and governance
- Build, mentor, and manage a high-performing product management team
- Partner with engineering leadership on execution strategies and architectural scalability
- Set roadmap milestones, prioritize initiatives, and drive cross-functional alignment
- Partner with Marketing, field teams, and executive customers to accelerate migrations and platform adoption
- Serve as an external voice for Snowflake on legacy modernization, automated pipeline refactoring, and AI-first data architecture
Requirements
What you’ll need- 12+ years in data infrastructure
- Proven experience building, managing, and mentoring high-performing product management teams
- Experience delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure
- Hands-on familiarity with SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration
- Practical understanding of AI-assisted capabilities, including automated code translation, developer co-pilots, semantic validation, and LLM-driven refactoring
- Ability to navigate technical ambiguity and make sound decisions using data and instincts
- Exceptional ability to translate complex architectural capabilities into clear narratives for customers, field leadership, and executives
- Must reside within commuting distance of, or be open to relocation to, a designated local Snowflake office
- Must be authorized to work in the country to which applying
Benefits
Comp & perks- Salary and benefits information is provided via the Snowflake Careers Site
- Hybrid work arrangement
- Team collaboration and in-office work support
- Equal employment opportunities
