
Salesforce Cloud Engineer
4 days ago
About the Role
We are seeking a highly skilled Salesforce Cloud engineer with expertise in data modeling, schema design, and entity relationships. This role will involve designing and implementing scalable customer data models to drive personalization and engagement.
Key Responsibilities
- Design, configure, and implement Salesforce Data Cloud solutions including:
- Data Streams for ingestion.
- Data Model Objects (DMOs) and relationships to support scalable customer data models.
- Identity Resolution for unified customer profiles.
- Calculated Insights, Segments, and Activations for analytics and personalization.
- Define and optimize data models, schema designs, and relationships within Salesforce Data Cloud to support business use cases.
- Integrate Data Cloud with other Salesforce products for end-to-end personalization.
- Collaborate with cross-functional teams to translate requirements into data models and architecture.
- Implement large-scale data ingestions using ETL, API, and middleware integrations.
- Apply data governance, privacy, and compliance best practices.
- Provide technical leadership in data modeling, ensuring scalability and performance.
Required Skills & Qualifications
- 5–9 years of Salesforce ecosystem experience with at least 2+ years in Salesforce Data Cloud/CDP.
- Strong expertise in data modeling, schema design, entity relationships, and normalization/denormalization techniques.
- Hands-on experience with Data Streams, DMOs, Identity Resolution, Calculated Insights, Segments, Activations.
- Proficiency in SQL, data transformation, and performance optimization.
- Experience with Salesforce integrations (APIs, middleware, or connectors).
- Good understanding of Marketing Cloud, Sales Cloud, or Service Cloud.
- Salesforce Certifications (preferred): Data Cloud Consultant, Data Architect, Platform Developer I/II.
Benefits
- Opportunity to work on cutting-edge technology.
- Chance to collaborate with experienced professionals.
- Continuous learning and growth opportunities.
PREFERRED SKILLS
- Exposure to Einstein AI/Analytics with Data Cloud.
- Experience with Snowflake, AWS, or GCP data pipelines.
- Knowledge of Customer 360 Audiences and advanced segmentation strategies.
- Prior experience working in Agile/Scrum environments.
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