Senior Salesforce Data Cloud Developer
3 weeks ago
About the Role :
We are seeking an experienced Salesforce Data Cloud Developer to design, implement, and optimize data-driven solutions using Salesforce Data Cloud.
The ideal candidate will have expertise in Salesforce technologies, strong problem-solving skills, and a deep understanding of data architecture, integration, and analytics.
Key Responsibilities :
- Design and develop data-driven solutions leveraging Salesforce Data Cloud.
- Implement and maintain Customer Data Platforms (CDPs) for a 360-degree view of customer data
- Integrate Salesforce Data Cloud with external systems using tools such as MuleSoft, APIs, or custom connectors.
- Create and manage data pipelines, ETL/ELT processes, and data transformation workflows.
- Design scalable data models and architecture within Salesforce.
- Ensure data quality, consistency, and compliance with governance standards.
- Build dashboards, reports, and advanced analytics using Salesforce Einstein Analytics/Tableau.
- Enable predictive analytics and AI/ML capabilities using Salesforce AI features.
- Collaborate with cross-functional teams to gather requirements and deliver solutions aligned with business needs.
- Provide technical guidance and mentorship to junior developers.
- Troubleshoot and resolve complex technical issues in Salesforce Data Cloud solutions.
- Stay updated with Salesforce releases and best practices to enhance system functionality.
- Propose and implement process optimizations and automation.
Required Skills and Qualifications :
- 6+ years of hands-on experience in Salesforce development, including 3+ years with Salesforce Data Cloud (Customer Data Platform).
- Proficiency in Apex, Lightning Web Components (LWC), SOQL/SOSL, and declarative tools.
- Strong experience in integrating Salesforce with external systems via APIs, web services, or middleware tools like MuleSoft.
- Knowledge of data models, schema design, and data mapping.
- Proficient in data integration tools (ETL/ELT processes) and handling large datasets.
- Familiarity with data visualization tools (Tableau, Salesforce Einstein Analytics).
- Strong understanding of data governance, security, and compliance standards (e.g, GDPR, CCPA).
- Hands-on experience with Salesforce Marketing Cloud, Service Cloud, and/or Experience Cloud.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.
Certifications (Preferred) :
- Salesforce Data Cloud Certification.
- Salesforce Certified Platform Developer I/II.
- Salesforce Certified Integration Architect.
- Salesforce Certified Application Architect.
Soft Skills :
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work in a fast-paced, collaborative environment.
- Self-starter with a passion for learning and implementing new technologies.
Good to Have :
- Experience in implementing AI/ML-driven solutions using Salesforce.
- Prior experience with industries such as retail, finance, or healthcare.
- Knowledge of advanced programming languages (e.g, Python, R) for data analytics
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