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Lead Data Modeler

Job in Seattle, King County, Washington, 98127, USA
Listing for: Salesforce
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Position

Lead Data Modeler

Office hybrid in Seattle, WA or Chicago, IL

Job Summary

We are seeking a Data Modeler to design and assist in developing the Customer Success Semantic layer for enterprise data syndication and agentic analytics. This role will develop robust entity relationship diagrams, architectural specs, and map relationships within CSG domains to build a central view of metrics and grains needed to power the agentic experiences in Help Agent and beyond.

Responsibilities
  • Design and Architect the semantic relationships of hundreds of analytical objects within the Customer Success Domain
  • Work with Product Managers, Engineering leaders, and data engineers to implement a multi-year roadmap aligned to the development of this architecture.
  • Align designs are architecture to standard metadata and ontologies within the enterprise for developing the semantic understanding.
  • Partner cross-functionally with architects, data architects, and product managers to make the analytical semantic layer discoverable.
  • Translate models into database schemas and objects for analytically aligning
  • Author and conform to best practices for maintaining discoverability and trust of data within the semantic layer.
  • Create technical documentation with product specifics and requirements that outline overall strategy in collaboration with the Product Manager.
  • Foster strong relationships with external partners, vendors, and industry experts to stay ahead of technological advancements.
Qualifications And Skills
  • 8+ years of proven experience in a data modeling, architecture, or data engineering capacity.
  • A related technical degree required.
  • Database technologies (SQL, No

    SQL), data modeling tools (ERwin, Visio), data warehousing, ETL processes.
  • Excellent communication, collaboration, and interpersonal skills to bridge business and technical teams.
  • Knowledge of data governance and metadata management techniques and tools.
  • Strong analytical and problem-solving abilities, with a keen eye for detail and the ability to think strategically.
Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal.

Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by…

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