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Lead / Senior Data Modeler
Salesforce · San Francisco, United States
About The Role
Join Salesforce's Tech and Product (T&P) Data Modeling Team as a Lead/Senior Data Modeler. In this role, you will be a trusted design authority, collaborating with product managers, UX designers, architects, and software engineers to ensure every product is backed by a well-architected data model. You will leverage AI tools to accelerate data model discovery, design, validation, and documentation. This position requires 10+ years of experience in relational data model design and a deep understanding of relational database principles.
- Lead collaborative data model design sessions with product managers, UX designers, architects, and engineers, sketching logical entity-relationship models and driving designs to approval.
- Own data model design quality across assigned Salesforce Clouds and represent those designs to both internal and external stakeholders, making and defending design decisions.
- Leverage AI tools daily to accelerate data model discovery, design, validation, and documentation, and actively contribute to improving Salesforce's AI data modeling capabilities.
- A related technical degree required
- You are genuinely enthusiastic about using AI tools to do your job better and are motivated to help build AI-assisted data modeling into the fabric of how a world-class team operates
- You communicate technical and functional concepts clearly to diverse audiences — engineers, architects, product managers, and business stakeholders — and you are equally comfortable in a whiteboard session and a leadership review
- You have 10+ years of experience in relational (OLTP) data model design — with deep understanding of relational database principles and a track record of leading design conversations and driving designs to approval across both relational and analytical systems, spanning multiple industries
- You thrive in a fast-paced environment with short release cycles, can manage multiple products concurrently with minimal specifications, and know how to build consensus across teams with competing priorities
- You have experience across a broad range of business domains (sales, service, field service, marketing, commerce) and industries (financial services, health, manufacturing, communications, retail, public sector, and others)
- You have knowledge of Salesforce platform features and capabilities — including both the core CRM platform and Data 360 — or of modern data stack technologies such as columnar, graph, vector, streaming databases, Apache Iceberg, Snowflake, or similar
- You have a good understanding of enterprise architecture principles and experience serving as a trusted design advisor to product and engineering teams
- You have strong, hands-on knowledge of SQL (or Salesforce SOQL) including relational database performance tuning, and working knowledge of how physical database design decisions affect query performance
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