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Job Category
Software Engineering
Job Details
About Salesforce
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Data Modeler (Principal, Lead, Senior)
Office hybrid; San Francisco or Seattle
Overview of the Role:
The Principal Data Modeler role provides data model design oversight as a part of Salesforce's Tech and Product (T&P) Data Modeling Team. The Data Modeling team, a part of the Salesforce Technology organization, works with product owners, software engineers, architects and others to ensure that Salesforce delivers the data model and software that is expected of the #1 AI+Data+CRM.
The Principal Data Modeler will be joining a world-class data modeling team with a real passion for well-architected enterprise software that delivers unparalleled customer success. You will work on Salesforce standard data models for our "horizontal" applications (e.g. sales, service, marketing) as well as our fast-growing industry-specific apps, helping to craft the structure of data across a much broader range of subject areas than most data modelers see in their careers. You will also contribute to our canonical data model that is the standard data model for Data Cloud. Salesforce is leading the way to bring AI, data, automation and deep industry-specific functionality to our customers. Join our dedication culture of trust, collaboration, visibility, continuous improvement and making work fun!
Responsibilities:
Success will be measured by the individual's ability to lead Salesforce T&P to deliver well-architected data models at a steady pace of innovation.
- Provide expert data modeling design advice to Salesforce product teams (for OLTP, OLAP and AI).
- Identify overlapping data model requirements across multiple product teams and drive the combined design to consensus and consistency.
- Take ownership of designs advised and represent them to internal and external partners.
- Coach, mentor and improve the design skills of our own team and all the teams we work with.
- Lead and contribute to data model documentation and collateral to enable the Salesforce ecosystem to understand and accurately adopt the Salesforce data model.
- Seek continuous improvement in Salesforce's processes, methods and tooling to improve our efficiency and effectiveness.
Required Qualifications:
- 20+ years of proven, hands-on data modeling and enterprise software design experience in multiple industries for OLTP (relational) and analytical systems
- Proven understanding of data modeling principles and standard processes including a solid understanding of canonical data modeling concepts
- Ability to quickly grasp technological and business concepts
- Strong verbal and written communication skills; experience communicating with engineers, software professionals, product management and executives to succinctly explain technical and functional concepts
- Experience with the full software lifecycle delivering enterprise software products or large-company enterprise information technology projects
- Experience and desire to work within a fast-paced environment with short release cycles and an iterative development methodology
- Able to work on multiple projects/products simultaneously and comfortable working with minimal specifications
- A related technical degree required
Preferred Qualifications:
- Experience across a variety of business processes and industries; especially communications, media, energy, utilities, financial services, health, manufacturing, consumer packaged goods, retail, non-profit, education, public sector and sustainability
- Strong, hands-on knowledge of SQL (or Salesforce SOQL) including performance tuning
- Solid understanding of Salesforce product and platform features, capabilities, and the best use of them
- Good understanding of enterprise architecture principles
- Experience with Agile development methodologies
- 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
- Knowledge of modern, non-relational databases (e.g. No-SQL databases, Graph databases, etc.), data lakes, data warehouses, AI pipelines or similar.
- Experience with data modeling tools, processes, BI tools, reporting software and data analysis and data analytics
Accommodations
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Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
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 $151,800 to $296,400.
For California-based roles, the base salary hiring range for this position is $165,600 to $323,400.
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.