Director, Data Engineering — Customer Success Score
Core
Setting strategic direction and architectural vision for the data systems powering Customer Success Score (CSS), a critical product intelligence asset for Salesforce's agentic AI platform.
Role type
Director, Data Engineering (Strategic Leadership & Architecture)
Builds
Enterprise-scale data platforms for telemetry, semantic modeling, and AI-native product experiences
Domain
SaaS / AI / Data Engineering
Deliverable
infrastructure
Required skills
Distributed data systems architecture, Spark, Trino/Presto, dbt, Snowflake, streaming systems (Flink, Kafka), semantic layers, AWS cloud infrastructure, executive-level communication, organizational leadership
Preferred skills
AI data engineering patterns, agentic data systems, autonomous pipeline design, knowledge graphs, programmatic data discovery
Technologies
Spark, Trino, Flink, Kafka, dbt, Snowflake, AWS (S3, EMR, ECS, IAM)
Responsibilities
Own the roadmap for the CSS data platform, establish architectural principles and governance standards, lead and grow multiple engineering teams, build partnerships with product and data science leaders, influence Salesforce-wide data and AI engineering standards
Seniority
Director, strategic leadership & multi-team management