Senior Data Modeler: AI-Driven Data Architecture Lead

salesforce.com, inc.; Palo Alto (CA); On-site; USD 148,500 - 223,900; Full time

Job summary

Salesforce seeks a Senior Data Modeler to join the Data Modeling Team, shaping data models across Sales, Service, and industry clouds. You will partner with product managers, architects, and engineers to ensure well-architected models backed by scalable designs.

The role requires deep SQL knowledge, 8+ years in relational data modeling, and the ability to drive design decisions with stakeholders while embracing AI-assisted modeling techniques.

Qualifications

• 8+ years of experience in relational (OLTP) data model design and leading design discussions across multiple industries.
• Strong ability to communicate technical concepts to engineers, product managers, and stakeholders.
• Comfort with fast-paced releases and aligning multiple products.
• Interest in applying AI tools to data modeling and collaboration.

Responsibilities

• Participate in collaborative data model design sessions with product managers, UX designers, architects, and engineers—sketching ER models and mapping to Salesforce data models.
• Own data model design quality across Salesforce Clouds and defend design decisions balancing stability, architecture, UX, performance, and cost.
• Leverage AI tools daily to accelerate data model discovery, design, validation, and documentation, and contribute to AI modeling capabilities.
• Lead and contribute to data model documentation and collateral to enhance understanding across the Salesforce ecosystem.

Skills

Data modeling

SQL

Relational DB design

Cross-functional collaboration

AI tooling usage

Education

Technical degree

Tools

Snowflake

Apache Iceberg

Columnar databases

Job description

Salesforce seeks a Senior Data Modeler to join the Data Modeling Team, shaping data models across Sales, Service, and industry clouds. You will partner with product managers, architects, and engineers to ensure well-architected models backed by scalable designs.

The role requires deep SQL knowledge, 8+ years in relational data modeling, and the ability to drive design decisions with stakeholders while embracing AI-assisted modeling techniques.