Unlock the Power of Customer Data: Salesforce Data Cloud Career

1 day ago

Kannur, Kerala, India beBeeDataCloud Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Salesforce Data Cloud Professional

Job Description

We are seeking a highly skilled Salesforce Data Cloud professional with expertise in data modeling, ETL, and integrations to design and implement scalable customer data models. The ideal candidate will combine strong knowledge of Salesforce Data Cloud (CDP) with advanced skills in data transformation and performance optimization.

The role involves collaborating with business teams to translate requirements into data models and architecture, implementing ETL, API, and middleware integrations for large-scale data ingestion, and applying data governance, privacy, and compliance best practices.

Key Responsibilities:

  • Design, configure, and implement Salesforce Data Cloud solutions including Data Streams for ingestion, Data Model Objects (DMOs) and relationships, 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 Salesforce Marketing Cloud, Sales Cloud, and Service Cloud for end-to-end personalization.
  • Collaborate with business teams to translate requirements into data models and architecture.
  • Implement ETL, API, and middleware integrations for large-scale data ingestion.
  • Apply data governance, privacy, and compliance best practices.
  • Provide technical leadership in data modeling, ensuring scalability and performance.
  • Document solutions and provide training to stakeholders.

Required Skills & Qualifications

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, MuleSoft, ETL tools, or connectors).
  • Good understanding of Marketing Cloud, Service Cloud, or Sales Cloud.
  • Salesforce Certifications (preferred): Data Cloud Consultant, Data Architect, Platform Developer I/II.

Benefits:

  • 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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