Senior Data Modeler

Sr. Data Modeler

Office hybrid; San Francisco or Seattle

Overview of the Role:

The Data Modeler role designs and develops data models as a part of our Tech and Product (T&P) Data Modeling Team. The team, under the Salesforce Technology organization, works with product owners, software engineers, architects and others to ensure that Salesforce delivers data models and software that is expected of the #1 AI+Data+CRM.

The 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 data models for our "horizontal" applications (e.g. sales, service, marketing) as well as our fast-growing industry-specific apps, helping to shape 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 high performance culture of trust, collaboration, transparency, continuous improvement and making work fun!

Responsibilities:

Success will be measured by the individual's ability to deliver, and help others deliver, well-architected data models at a steady pace of innovation.

• Co-design data models with development teams for OLTP, OLAP and AI.
• Hands-on detailed design, development, testing and publishing of canonical data models for Data Cloud.
• Work with product dev teams to determine data model requirements. Identify overlapping requirements across multiple product teams and influence a combined data model design to consensus and consistency.
• Perform crucial steps in the data model oversight process such as ensuring that data model requests have the right information captured and are routed to the right people.
• Assist in continuous improvement of Salesforce's processes, methods and tooling to improve our efficiency and effectiveness.
• Assist in crafting data model documentation and collateral so that the Salesforce ecosystem is enabled to understand and accurately adopt the Salesforce data model.
• Work to improve the data modeling design skills of the product dev team members we work with.

Required Qualifications:

• 7+ years of demonstrated, hands-on data modeling and enterprise software design experience in multiple industries for OLTP (relational) and analytical systems using relational databases.
• Good knowledge of data modeling principles and standard methodologies including a good understanding of canonical and semantic data modeling concepts.
• Ability to quickly grasp technological and business concepts.
• Strong verbal and written communication skills; experience communicating with engineers, architects, software professionals and product management 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 is required.

Preferred Qualifications:

• Experience across a variety of business domains (e.g. service, sales, marketing and commerce) and industries (e.g. 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.
• Knowledge of Salesforce product and platform features, capabilities, and the best use of them including Data Cloud and Tableau.
• 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.
• Experience with Agile development methodologies.
• Experience with enterprise architecture principles.
• Experience with data modeling tools, processes, BI tools, reporting software and data analysis and data analytics.