FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading engineering organizations, with a strong focus on cloud-native distributed systems and data governance. Capable of architecting complex systems while ensuring operational excellence and security across multiple cloud platforms.
Highest-signal resume keywords
15+ Years Software Engineering Experience7+ Years Managing Engineering TeamsCloud-Native Distributed Systems ExpertiseData Governance Frameworks ExperienceStrong Technical Product Acumen
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed Systems EngineeringCloud Platforms ArchitectureData Quality MonitoringAutomated Data ProfilingSchema ValidationHigh-Throughput Metadata StorageQuery ExecutionCaching LayersCross-Region ReplicationData Classification
Soft Skills
MentoringLeadershipCollaborationCommunicationStrategic Thinking
Tools & Technologies
AWSAzureGCPApache IcebergApache PolarisUnity CatalogHive Metastore
Certifications & Qualifications
B.S. in Computer ScienceM.S. in Computer EngineeringPh.D. in Related Technical Field
Industry Keywords
Enterprise AdministrationData GovernanceData Clean RoomsSecure Data SharingApplication Distribution Platforms
Tech Stack
Tools & technologiesApacheAWSAzureCloudDistributed SystemsGoogle Cloud PlatformUnity
About the role
Key responsibilities & impact- Lead the engineering organization for Horizon Catalog, Collaboration, and Snowflake Marketplace
- Build, mentor, and inspire an engineering organization including Engineering Directors, Senior Engineering Managers, and Principal Engineers across multiple hubs
- Combine distributed systems engineering with product understanding for enterprise administrators and data engineers
- Architect native data quality monitoring, automated data profiling, schema validation, and real-time alerts
- Architect administrative tooling, tenant management control planes, and centralized policy orchestration across hundreds of accounts and global regions
- Lead secure data sharing, zero-copy partner integrations, Data Clean Rooms, and Snowflake Marketplace platforms
- Collaborate with Product Management, Design, and Security leaders on execution roadmaps
- Serve as executive sponsor for tier-1 enterprise customers
- Champion operational excellence, security-by-design, and 99.99%+ availability across AWS, Azure, and GCP
Requirements
What you’ll need- 15+ years of software engineering experience in product infrastructure, distributed systems, or enterprise cloud platforms
- 7+ years managing engineering directors, managers, and senior leaders across multi-team organizations
- Strong technical product acumen and understanding of customer workflows, enterprise administration, usability, and product adoption
- Strong foundation in cloud-native distributed systems, high-throughput metadata storage, query execution, caching layers, and cross-region replication
- Proven ability to attract, hire, retain, and develop elite engineering talent
- Exceptional ability to articulate complex technical architectures, trade-offs, and product strategies to VP/C-level leaders and enterprise customers
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience
- Prior experience with data governance frameworks, metadata management, automated lineage tracking, data classification, or data masking/privacy controls
- Experience with Apache Iceberg, Apache Polaris, Unity Catalog, or Hive Metastore
- Experience with secure data sharing, data clean rooms, application distribution platforms, or data/app marketplaces and commerce systems
- Experience architecting systems across AWS, Azure, and GCP
- Ability to work within commuting distance of, or relocate to, the Menlo Park Snowflake office
- Current authorization to work in the country to which applying; sponsorship requirements must be disclosed
Benefits
Comp & perks- Salary range of $340K–$488.7K
- Hybrid work arrangement
- Company sponsorship may be available for work authorization, subject to review
- Snowflake Candidate Privacy Notice and equal employment opportunity protections
