Senior Director, Data Modeling jobs in United States
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Salesforce · 2 hours ago

Senior Director, Data Modeling

Salesforce is the #1 AI CRM, focusing on innovation and customer success. The Senior Director, Data Modeling will lead the enterprise data modeling practice, optimizing data models across a complex hybrid-cloud ecosystem to support various teams within the organization.

Artificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Lead, mentor, and grow a high-performing, globally-distributed team of data modelers
Define and own the enterprise-wide standards, processes, and best practices for the implementation of all data models within the enterprise data platforms and enterprise architecture practices
Serve as the primary partner and consultant for Data Science, Automation, and Application teams
Translate their functional and non-functional requirements (e.g., analytical performance, query latency, automation throughput) into optimal logical and physical data model designs
Design and govern the implementation of data models that span our hybrid ecosystem, including Salesforce Data 360, multiple Salesforce orgs, Informatica MDM, Amazon data lakes, and Snowflake
Master the benefits and trade-offs of modeling on each platform, such as leveraging Snowflake's zero-copy data sharing vs. federating queries to S3
Lead the design and modeling for the Enterprise Knowledge Graph, partnering with the platform team on its implementation on our chosen graph database
Design and govern the data models that integrate unstructured data and vector embeddings (from our vector database) with our core enterprise structured data
Serve as the chief arbiter and thought leader on data modeling methodologies
Drive the strategic selection and implementation of the right model for the right stakeholder

Qualification

Data Modeling ExpertiseHybrid-Cloud ModelingMaster Data ManagementSalesforce Ecosystem KnowledgeEnterprise Graph ModelingAI & Modern DataStakeholder-Driven LeadershipData Governance PartnershipCollaboration & InfluenceData Modeling CertificationsData Mesh Familiarity

Required

12+ years of hands-on data modeling, with at least 7+ years in a senior leadership role managing technical modeling teams
Expert-level mastery of all major data modeling methodologies and the deep implementation trade-offs between them such as 3NF (for applications), Data Vault (for integration layers), and Star/Snowflake schemas (for data science)
Proven, hands-on experience building and optimizing data models on a complex, hybrid-cloud stack. Mandatory expertise with Snowflake and demonstrable experience modeling data across Amazon data lakes (e.g., S3)
Deep experience modeling Master Data Management golden records and hierarchies, and integrating them with operational and analytical systems (e.g., Informatica MDM)
Deep understanding of the data modeling challenges within a multi-org Salesforce CRM environment and a customer activation platform (Salesforce Data Cloud canonical model DLO/DMO)
Proven, deep experience designing and modeling enterprise-scale Knowledge Graphs for implementation on graph databases
Demonstrable experience with modeling unstructured data and designing the models to integrate vector embeddings from a vector database into a cohesive enterprise view
A proven track record of partnering directly with Data Science, Automation, and Application/Engineering teams to deliver data models that meet their specific needs
Proven experience partnering with Data Governance teams to ensure models are compliant, secure, and integrated with the enterprise data catalog
Exceptional communication skills. The ability to articulate complex implementation trade-offs (e.g., 'why this join strategy in Snowflake is better for your DS model') to both technical and non-technical stakeholders

Preferred

Deep understanding of Salesforce Data 360 platform with experience designing, deploying, and managing data model objects on enterprise deployments of Salesforce Data 360
Relevant industry standard data certifications for Data Management professionals and cloud database management from Amazon, Snowflake, Google, Neo4J, or similar. Formal training in all major modeling methodologies (Kimball, Inmon, etc.) to demonstrate a 'toolbox' approach
Familiarity with Data Mesh principles and how different modeling standards serve as the foundation for interoperable data products

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Company

Salesforce

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Salesforce is a cloud-based software company that provides customer relationship management software and applications.

H1B Sponsorship

Salesforce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)

Funding

Current Stage
Public Company
Total Funding
$65.38M
Key Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M

Leadership Team

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Arundhati Bhattacharya
CEO & Chairperson, Salesforce India and South Asia
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Marc Benioff
Chair & CEO
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Company data provided by crunchbase