Senior Data Modeler

Salesforce•Palo Alto, CA

1d•$148,500 - $246,000•Hybrid

About The Position

The Data Modeler role is part of Salesforce's Tech and Product (T&P) Data Modeling Team — a passionate, world-class group of data model designers who shape the data model across every Salesforce product, from horizontal applications like Sales and Service to the full range of industry-specific clouds, and including our Data 360 platform. It's a broader range of subject matter than most data modelers encounter in an entire career. We are looking for a Senior Data Modeler to serve as a trusted design authority — partnering daily with product managers, UX designers, architects, and software engineers (who develop the data models) — to ensure every product Salesforce ships is backed by a well-architected, thoughtful data model. With Agentforce and AI woven into how we work, you will use AI tools every day to accelerate design and data model content creation — and help us continuously improve those AI capabilities. Our US team collaborates closely with colleagues in India, which requires availability for some morning and evening overlap hours.

Requirements

8+ 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.
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.
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.
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.
A related technical degree required.

Nice To Haves

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).
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.
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.
Good understanding of enterprise architecture principles and experience serving as a trusted design advisor to product and engineering teams.

Responsibilities

Participate in collaborative data model design sessions with product managers, UX designers, architects, and engineers — sketching logical entity-relationship models, mapping them into the existing Salesforce data models, surfacing design risks, and driving designs to approval as peer advisors on each team. You are coaching and mentoring these partners throughout every one of these interactions.
Own data model design quality across your assigned Salesforce Clouds and represent those designs to both internal and external stakeholders, making and defending the design decisions that best balance stability, architecture, user experience, performance, speed to market, software cost of ownership, and more.
Leverage AI tools daily to accelerate data model discovery, design, validation, and documentation. Actively contribute to improving Salesforce's AI data modeling capabilities to raise the bar for the whole team and the teams we partner with.
Lead and contribute to data model documentation and collateral, including entity-relationship diagrams and reference models, to enhance understanding and adoption of the Salesforce data model across the Salesforce ecosystem.