Salesforce
Technology
Director,DataEngineering—CustomerSuccessScore
“Director, Data Engineering — Customer Success Score at Salesforce. Skills: Data Engineering, AI, Platform Engineering. Own roadmap for CSS data platform. Align engineering investment with strategy”
Industry & Context.
What They're Looking For.
Must Have
15+ years data/platform engineering, 5+ years leading engineering managers, Experience with Spark, Experience with Trino/Presto, Experience with dbt, Experience with Snowflake, Experience with modern lakehouse architectures, Experience with streaming systems, Experience with Flink, Experience with Kafka, Command of semantic layers, Command of data modeling, Command of enterprise metrics systems, Experience with AWS cloud infrastructure, Experience with S3, Experience with EMR, Experience with ECS, Experience with IAM, Experience with containerized environments, Executive-level communication skills, Related technical degree required
Nice to Have
AI data engineering patterns, Agentic data systems, Autonomous pipeline design, MCP familiarity, Knowledge graphs familiarity, Modern metadata platforms familiarity, Programmatic data discovery frameworks, Programmatic data consumption frameworks
What You'll Do.
Own roadmap for CSS data platform
Align engineering investment with strategy
Establish architectural principles
Establish governance standards
Drive convergence across product analytics
Drive convergence across ML infrastructure
Drive convergence across AI data foundations
Represent data engineering at executive level
Secure resources for strategic initiatives
Set technical bar for distributed data systems
Define engineering standards for software quality
Define engineering standards for CI/CD
Define engineering standards for observability
Define engineering standards for reliability
Guide platform evolution for agent reasoning
Guide platform evolution for adaptive decisioning
Guide platform evolution for AI-native experiences
Champion semantic consistency
Champion metric governance
Champion trusted signal definition
Evaluate emerging technologies
Drive adoption decisions
Lead engineering teams
Grow engineering teams
Build culture of ownership
Build culture of psychological safety
Build culture of high accountability
Drive succession planning
Drive leadership development
Drive talent retention
Define hiring strategy
Build partnerships with product leaders
Build partnerships with data science leaders
Build partnerships with AI platform leaders
Build partnerships with telemetry engineering leaders
Build partnerships with infrastructure leaders
Communicate architecture to stakeholders
Communicate trade-offs to stakeholders
Communicate investment decisions to stakeholders
Align technical execution with business outcomes
Align technical execution with enterprise priorities
Influence Salesforce-wide standards for data engineering
Influence Salesforce-wide standards for AI engineering
How You'll Work.
Team & Collaboration
Cross-functional partnership; Product collaboration; Data science collaboration; AI platform collaboration; Telemetry engineering collaboration; Infrastructure collaboration
Communication Scope
Executive communication; VP/C-suite presentations
Process & Methodology
Roadmap planning
Applying for this Director, Data Engineering — Customer Success Score role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Salesforce?
Real rants from real employees. Read before you apply.