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Snowflake

Director, Product Management – Data Transformation

Snowflake

. Own Snowflake’s Data Transformation product portfolio .

Posted 10/14/2026full-timeUnited StatesLead💰 $304,000 - $437,000 per yearWebsite

Core Competencies

Role fit
Core 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

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Applicant 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 & technologies
ETLSQL

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