Senior Data Modeler

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Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking a seasoned and dedicated

Senior Data Modeler

to lead the design and delivery of the data foundation, models, and schemas that power the

C360 Data Cloud

Marketing Automation

Go-To-Market Activations

, and the data infrastructure supporting creation of

customer-facing agents

The

Senior Data Modeler will be responsible for developing conceptual, logical, and physical data models. This role involves close collaboration with Salesforce engineering, product management, data science, data visualization, and analyst teams to design both the customer data model within Salesforce Data Cloud and the analytical data model that shapes our metrics strategy.

The right candidate will have a passion for data design and the consistent use of data across products / teams. They will drive consensus and consistency across multiple teams when they need similar data model concepts. The candidate must work very well with others and have excellent communication, influencing and negotiation skills. In this role, the Senior Data Modeler should have the ability to think creatively and be able to tackle and resolve challenges collaboratively, knowing when to compromise and when not to. Success will be measured by the individual's ability to consistently deliver well-architected and documented data models at a steady pace.

Responsibilities

Take ownership of the entire data modeling process and associated deliverables for both analytical and customer data models.

Collaborate with Product Management teams to comprehend and assess functional and technical requirements.

Conduct data discovery and analysis of source systems to pinpoint the necessary data sources aligned with business needs.

Develop conceptual and logical data models to validate requirements, identifying crucial entities and relationships.

Collaborate closely with engineering teams to design and implement physical data models, including source-to-target mapping documentation and transformation / business rules.

Provide ongoing support to engineering teams during pipeline creation and the implementation of new data models.

Ensure data governance across all Marketing data platforms and architecture by collaborating with cross-functional teams.

Foster data innovation for internal use cases, challenging conventional thinking about customer data models for segmentation and personalization.

Generate and sustain comprehensive documentation for data models and source system analysis.

Pursue continuous improvement in existing processes, methods, and tools to enhance overall efficiency and effectiveness.

Minimum Qualifications :

A related technical degree required.

7+ years of demonstrated, hands-on analytical data modeling and design experience for OLTP and analytical systems. Experience with Salesforce platform and data objects is a huge plus.

Possess a solid understanding of data modeling principles and best practices, including expertise in canonical and semantic data modeling concepts.

Significant experience in data analysis and data profiling using SQL and other tools.

Significant experience in data warehousing, data lakes, data pipelines, batch and real-time data transformation (ETL / ELT) and processing

Direct experience and proficiency with at least one modeling software (e.g. ER Studio, ERwin).

Demonstrate the ability to generate thorough and understandable documentation artifacts, including data lineage and data glossaries.

Familiarity with marketing analytics, business intelligence, and visualization tools (e.g., Google Analytics, Tableau etc.) is beneficial.

Ability to quickly grasp technological and business concepts.

Possess strong verbal and written communication skills, with a track record of effectively conveying technical and functional concepts to engineers, software professionals, and product management.

Thrive in a fast-paced, Agile environment characterized by short release cycles, iterative development, and continuous feedback.

Capable of handling multiple projects / products simultaneously and comfortable working with minimal specifications.

Preferred Qualifications :

Experience with the Salesforce technology stack, particularly Salesforce Data Cloud features such as Calculated Insights, Segmentation, and Identity Resolution, to guide data modeling decisions for both real-time and batch use cases. Prior experience applying identity resolution techniques to support the creation of a golden customer record is highly desirable.

Prior experience with CRM, Sales and Marketing data is a huge plus

Sound grasp of enterprise architecture principles

Understanding and acquaintance with marketing technology solutions and the Digital Marketing domain

Advanced degree or equivalent experience in Computer Science or a related field

Experience working with globally distributed teams is a plus

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.

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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 factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including : time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link : https : / / www.salesforcebenefits.com.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 $216,700.For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.

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