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to lead the design and delivery of the data foundation, models, and schemas that power theC360 Data CloudMarketing AutomationGo-To-Market Activations, and the data infrastructure supporting creation of
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 andtransformation/businessrules.
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
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Posting Statement
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.These jobs might be a good fit