Senior / Lead / Principal Data Modeler
California - San Francisco, United States
Full Time Senior-level / Expert USD 157K - 334K
Salesforce
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Job Category
Software EngineeringJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
The Data Modeler role provides data model design oversight for all Salesforce products. The team collaborates with product owners, engineers, architects, and others to ensure Salesforce delivers top-notch data models and software, that is expected of the #1 AI CRM, Data and Agentforce Platform.
Join a passionate, world-class data modeling team dedicated to delivering well-architected enterprise software for exceptional customer success. You'll shape the structure of Salesforce standard data models for “horizontal” applications (e.g. sales, service, marketing) as well as industry-specific applications. Work on traditional OLTP data models as well as the model of our modern Data Cloud platform. Salesforce is at the forefront of delivering AI, data, automation, and deep industry-specific functionality to our customers. Join our high-performance culture, which values trust, collaboration, transparency, continuous improvement, and having fun!
Responsibilities:
Provide expert data modeling design advice and reviews for all styles of data models (OLTP and analytical).
Collaborate with product and development teams to define data model requirements and drive consensus on unified data model designs that address overlapping requirements across multiple product teams.
Own data model designs and representing them to both internal and external stakeholders.
Mentor and enhance the data modeling design skills of our own team and all the teams we work with.
Leading and contributing to data model documentation and collateral.
Perform essential data model oversight tasks, such as ensuring that data model requests are properly documented and routed.
Continuously seek improvements in Salesforce's processes, methods, and tooling to enhance efficiency and effectiveness. Assist in adopting AI technologies to enhance and automate data modeling activities.
Supporting engineers through hands-on detailed design, development, testing and publishing of data models as needed.
Required Qualifications:
6+ years (depending on level) of hands-on experience in data modeling and enterprise software design for relational (OLTP) and analytical systems
Strong understanding of data modeling principles and best practices, including canonical and semantic concepts
Ability to quickly grasp technological and business concepts
Strong written and verbal communication skills, with experience in effectively conveying technical and functional concepts to diverse audiences
Demonstrated experience in full software lifecycle delivery for enterprise software products or large-scale enterprise IT projects
Ability to thrive in a fast-paced environment characterized by short release cycles and iterative development methodologies
Comfortable in managing multiple projects/products concurrently.
Related technical degree required
Preferred Qualifications:
Experience across a variety of business domains (e.g. sales, service, field service, marketing, commerce) and industries (e.g. communications, media, energy, utilities, financial services, health, manufacturing, consumer packaged goods, retail, non-profit, education, public sector, sustainability)
Strong, hands-on knowledge of SQL (or Salesforce SOQL) including performance tuning
Knowledge of modern, non-relational databases (e.g. columnar, graph, vector, NoSQL, streaming databases), data lakes, data warehouses, AI pipelines or similar. Experience with modern data stack technologies such as Apache Iceberg, Snowflake, MongoDB, Neo4j, Neptune, and similar.
Knowledge of Salesforce product and platform features, capabilities, and the best use of them including Data Cloud and Tableau
Experience with Agile development methodologies
Good understanding of enterprise architecture principles
Ability to serve as a trusted advisor to customers, with a deep curiosity to understand them, their motivations and needs, and how to approach ensuring their success
Experience with data modeling tools, processes, BI tools, reporting software and data analysis and data analytics
Benefits / Perks
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
Salesforce Information:
Check out our Salesforce Engineering Site.
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.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For Washington-based roles, the base salary hiring range for this position is $157,600 to $306,600.For California-based roles, the base salary hiring range for this position is $172,000 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.Tags: Agile Architecture Data analysis Data Analytics Engineering Model design MongoDB Neo4j NoSQL Pipelines RDBMS Salesforce Snowflake SQL Streaming Tableau Testing
Perks/benefits: Career development Equity / stock options Fertility benefits Gear Health care Parental leave Startup environment Transparency
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