Salesforce

VP, Database Engineering

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaWashingtonUnited States

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Salary

💰 $282,300 - $451,700 per year

Job Level

About the role

  • Define and own the long-term technical and organizational vision for Salesforce’s cloud-native database platform.
  • Partner with Public Cloud and HyperForce leadership to enable Salesforce’s unified platform and applications across public clouds, including GCP.
  • Set the roadmap for scalability, performance, durability, availability, and cost efficiency to support Salesforce’s current and future workloads.
  • Lead the design, development, and evolution of a globally distributed, multi-tenant database system supporting all core Salesforce traffic.
  • Drive architectural decisions across storage, replication, consistency models, failover, disaster recovery, and data durability.
  • Collaborate closely with architects and product owners to build best-in-class database services and systems at scale.
  • Ensure strong engineering fundamentals, including modular design, correct abstractions, automated testing, and continuous integration.
  • Own SLAs for availability, latency, and durability of Salesforce’s database infrastructure.
  • Lead database-related incident management for Sev-0 and Sev-1 events, including prevention, response, and post-incident learning.
  • Champion automation, observability, and operational rigor to safely operate services at extreme scale.
  • Drive execution by working across cross-functional teams spanning database engineering, public cloud infrastructure, HyperForce, SRE, and product engineering.
  • Balance long-term architectural investments with short-term delivery commitments.
  • Make critical technical and organizational decisions, innovating aggressively while managing operational risk.
  • Hire, build, and scale a world-class, geographically distributed engineering organization.
  • Mentor and grow senior engineers, architects, managers, and managers-of-managers.
  • Establish clear expectations for technical leadership, ownership, and accountability.
  • Foster an inclusive, high-performance culture with a strong emphasis on diversity and engineering excellence.
  • Communicate complex technical concepts clearly to executive leadership and stakeholders.
  • Represent Salesforce Database Engineering in executive planning, architecture reviews, and strategic initiatives.
  • Encourage ideas, bring a strong point of view, and lead through influence as well as authority.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 20+ years of overall engineering experience, with 10+ years leading large, multi-level engineering organizations.
  • Deep expertise in distributed systems, databases, or large-scale storage platforms.
  • Proven experience owning and operating cloud-based, mission-critical services at B2C scale.
  • Strong background in service ownership, operational excellence, and 24×7 production systems.
  • Excellent written and verbal communication skills, with the ability to engage both executives and deeply technical audiences.
  • Experience building or operating cloud-native, multi-tenant database platforms (preferred).
  • Working knowledge of public cloud technologies (GCP, AWS, Azure) and large enterprise cloud migrations (preferred).
  • Experience partnering with public cloud platform teams and enabling large-scale platform transitions (preferred).
  • Strong grounding in data structures, algorithms, and object-oriented programming (preferred).
  • Agile mindset with experience operating in Scrum/Agile environments (preferred).
Benefits
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
distributed systemsdatabasescloud-native database platformsservice ownershipoperational excellencedata structuresalgorithmsobject-oriented programmingautomated testingcontinuous integration
Soft Skills
communication skillsleadershipmentoringcollaborationorganizational visioninfluenceproblem-solvingdecision-makingcultural inclusivityhigh-performance culture