Sr. Director - Engineering - Data 360 & Vizplatform Services

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Salesforce is seeking a Sr. Director of Platform Engineering to lead the Data 360 (Data Cloud) and Visualization portfolios. This role focuses on treating the internal data platform as a product, enforcing software engineering rigor (CI/CD, automated testing, IaC) to eliminate manual toil and fragility. The candidate will act as the lead for the Customer Zero vision, defining how Data360 should evolve to meet extreme scale, security, and interoperability requirements, bridging internal business needs with the external product roadmap. Responsibilities include driving DevOps maturity, defining enterprise data cloud architecture, modernizing the visualization platform, and ensuring operational excellence and security for agentic workloads.

What you'd actually do

  1. Automated SDLC: Lead the transition from manual, high-privilege production deployments to a fully automated CI/CD Platform Service. Architect pipelines that reduce deployment times from hours to minutes using modern DevOps tooling.
  2. Test Automation Strategy: Enforce a "Test-Driven" culture for data products. Implement automated regression testing, data quality monitoring (Monte Carlo), and performance benchmarking to catch regressions before they hit production.
  3. Infrastructure as Code (IaC): Treat infrastructure configuration (Data Spaces, Data Streams, Identity Resolution rules) as code. Ensure all environment configurations are version-controlled, reproducible, and drift-resistant.
  4. Product Evolution Partner: Act as the primary engineering counterpart to the Data Cloud Product (T&P) leadership. Use our internal implementation (E360/C360) to validate features like Vector Search, Hybrid Search, and BYOL at massive scale (600M+ records) before General Availability.
  5. Tier 1a Mission Criticality: Work with Ops Org to Operationalize Data 360 as a Tier 1a platform capable of supporting 24/7 Agentic workloads. Establish a "Follow the Sun" SRE practice with a target Mean-Time-To-Detect (MTTD) of 15 minutes.

Skills

Required

  • 15+ years of experience leading platform engineering teams
  • strong focus on DevOps, CI/CD, and Test Automation in complex data environments
  • Deep technical understanding of the Salesforce ecosystem, specifically Data Cloud architecture (DLOs, DMOs, Identity Resolution) and how to optimize it for scale
  • Proven ability to translate internal operational challenges into clear, actionable product requirements that shape external software roadmaps
  • Experience operationalizing Data Mesh principles, Lakehouse patterns (Iceberg), and Zero-Copy architectures
  • A track record of transforming "operations" teams into "platform engineering" teams—moving from ticket-based work to code-based self-service platforms

Nice to have

  • Tableau Cloud & Unified Analytics
  • Salesforce Data Cloud
  • Tableau
  • Data Cloud architecture
  • DLOs
  • DMOs
  • Identity Resolution
  • Data Mesh principles
  • Lakehouse patterns
  • Iceberg
  • Zero-Copy architectures

What the JD emphasized

  • Customer Zero vision
  • Customer Zero Mindset
  • Agentic workloads
  • Agent-first enterprise