
Principal Data Cloud Data Modeler
Are you a skilled data modeler looking for an exciting opportunity to join a dynamic and innovative company? Look no further than Salesforce, the world's leading customer relationship management platform. We are seeking a Principal Data Cloud Data Modeler to join our team and help shape the future of data modeling at Salesforce. In this role, you will have the opportunity to work with cutting-edge technologies and collaborate with a team of highly talented individuals to design and implement data models for our Data Cloud platform. If you have a passion for data and a strong background in data modeling, we want to hear from you!
- Design and develop data models for Salesforce's Data Cloud platform.
- Collaborate with cross-functional teams to understand business requirements and translate them into data models.
- Utilize cutting-edge technologies to create optimized and scalable data models.
- Conduct data analysis and identify opportunities for data model improvements.
- Develop and maintain data dictionaries and data lineage documentation.
- Troubleshoot and resolve data model performance issues.
- Stay updated on industry trends and best practices in data modeling.
- Mentor and guide junior data modelers in the team.
- Work closely with data engineers and database administrators to ensure efficient data flow and data integrity.
- Participate in code reviews and provide constructive feedback.
- Communicate effectively with stakeholders to understand their needs and provide timely updates on data model development.
- Help define and enforce data modeling standards and guidelines.
- Collaborate with other teams to integrate data models into various applications.
- Continuously monitor and optimize data models for improved performance and efficiency.
- Identify and implement data modeling best practices to ensure high-quality data.
- Participate in data governance initiatives and ensure compliance with data standards and regulations.
Extensive Experience In Data Modeling: A Principal Data Cloud Data Modeler At Salesforce Should Have A Deep Understanding And Hands-On Experience In Designing And Implementing Data Models For Large-Scale Cloud-Based Applications.
Expertise In Salesforce Data Architecture: The Ideal Candidate Should Have A Strong Understanding Of Salesforce Data Architecture, Including The Capabilities And Limitations Of Different Data Storage Options Such As Objects, Fields, And Relationships.
Proficiency In Data Integration: Salesforce Is A Complex Environment That Often Requires Integrating Data From Various Sources. A Principal Data Cloud Data Modeler Should Have Expertise In Designing And Implementing Data Integration Solutions That Meet Business Requirements And Adhere To Best Practices.
Strong Technical Skills: This Role Requires A Strong Technical Background, Including Proficiency In Sql, Etl Tools, And Data Modeling Tools. The Candidate Should Also Have Experience With Data Warehousing And Data Governance Principles.
Leadership And Communication Skills: As A Principal Data Cloud Data Modeler, The Candidate Will Be Responsible For Leading And Mentoring A Team Of Data Modelers. Strong Leadership And Communication Skills Are Essential To Effectively Collaborate With Cross-Functional Teams And Drive Successful Data Modeling Initiatives.
Business Intelligence
Data Analysis
SQL Programming
Data Modeling
Data warehousing
Cloud Computing
Data integration
Database design
Data governance
ETL Development
Data architecture
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Principal Data Cloud Data Modeler in Seattle, WA, USA is between $130,000 to $180,000 per year. This can vary depending on factors such as experience, education, and the specific company and industry.
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Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.

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