Senior Salesforce Data Cloud Developer (6-7 yrs)

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