TL;DR

Lead Data Platform Engineer (AI, Data Governance): Architecting and implementing data trust and governance systems for a Customer Success Data Platform with an accent on AI-readiness, metadata management, and compliance. Focus on designing automated metadata exposure via knowledge graphs, enabling semantic understanding for AI, and ensuring global data standards and regulatory adherence.

Location: Onsite in Seattle, Washington or Chicago, Illinois, USA

Company

Salesforce is shaping the future of business at the intersection of AI + Data + CRM.

What you will do

  • Define and execute the technical strategy for data trust and AI-readiness for structured and unstructured datasets.
  • Build and scale discovery capabilities and metadata frameworks, improving data quality through well-governed instrumentation and schema practices.
  • Design and implement automated metadata exposure through knowledge graphs and enable semantic understanding for AI-powered applications.
  • Establish and maintain quality assessment frameworks, benchmarks, and automated reporting to align with global data standards.
  • Implement technical controls for data retention, access, and classification, ensuring platform meets rigorous external regulatory requirements (GDPR, CCPA, SOX).
  • Operate the platform as a two-sided marketplace, supporting data engineers and application developers.

Requirements

  • 8+ years in data platform or infrastructure engineering, with experience in data streaming, telemetry, or observability domains.
  • Proven track record implementing internal data policies (classification, access) and external regulations (GDPR, CCPA).
  • Deep knowledge of event-driven architectures, instrumentation schemas, Kafka, and real-time data pipelines.
  • Hands-on experience with Graph Databases or Ontology management to support AI consumption.
  • Ability to align technical roadmaps with industry trends and deliver high-impact features in complex enterprise environments.
  • Exceptional skill in distilling technical complexity for diverse audiences and driving functional alignment.

Nice to have

  • Experience in the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.).

Culture & Benefits

  • Shape the future of business at the intersection of AI + Data + CRM.
  • Build the foundation of trust that enables global customers to innovate and succeed.
  • Empower enterprise-scale AI initiatives with trusted data.