Description
We are seeking a Senior Lead Data Platform Engineer to drive the technical implementation of Trust and Data Governance within our Customer Success Data Platform. In this role, you will architect systems that ensure our product and customer data—both structured and unstructured—is reliable, compliant, and AI-ready. You’ll work at the intersection of data engineering, metadata management, and AI, building frameworks that empower our enterprise to innovate with confidence.
Our ideal candidate has extensive engineering experience, a strong track record of implementing data governance at scale, and a passion for enabling AI-ready data platforms.
What You’ll Do
1. Architect Governance for AI Readiness
Define and execute the technical strategy for data trust, ensuring both structured metrics and unstructured datasets are AI-ready.
Build and scale discovery capabilities and metadata frameworks so users can find and apply trusted datasets efficiently.
Improve data quality through well-governed instrumentation and schema practices across the platform.
2. Metadata & Semantic Engineering
Design and implement automated ways to expose data quality and usability metadata through knowledge graphs.
Enable semantic understanding and automated reasoning to accelerate AI-powered application development.
Manage metadata as a product, leveraging Graph Databases or ontology management tools to bridge raw data and AI agents.
3. Frameworks & Compliance
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.
Ensure the platform meets rigorous external regulatory requirements, including GDPR, CCPA, and SOX.
4. Champion the Data Marketplace
Operate the platform as a two-sided marketplace, supporting both data engineers producing data and application developers consuming it.
Partner with users to understand pain points in data usability and build solutions that reduce time-to-find and time-to-use.
What We’re Looking For
Engineering Expertise
8+ years in data platform or infrastructure engineering, with experience in data streaming, telemetry, or observability domains.
Governance Mastery
Proven track record implementing internal data policies (classification, access) and external regulations (GDPR, CCPA).
Technical Proficiency
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.
Experience in the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.) is a plus.
Strategic Execution
Ability to align technical roadmaps with industry trends and deliver high-impact features in complex enterprise environments.
Communication
Exceptional skill in distilling technical complexity for diverse audiences and driving functional alignment.
Why Join This Team?
At Salesforce, we are shaping the future of business at the intersection of AI + Data + CRM. You will be at the heart of this mission, building the foundation of trust that enables our global customers to innovate and succeed. Join us to empower enterprise-scale AI initiatives with data you can trust.