Cloud Architect and Engineer

4 days ago

Shimoga, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Drive Data-Driven Transformation

We are seeking an experienced professional to spearhead our data cloud initiatives.

This role requires deep knowledge of Salesforce Data Cloud, along with proven leadership skills to guide technical teams, design scalable architectures, and enable enterprise-wide data-driven transformations.

The successful candidate will be responsible for driving strategy, implementation, and optimization of Salesforce Data Cloud capabilities to unlock customer insights, enable AI-driven personalization, and power intelligent engagement across the enterprise.

Key Responsibilities
  • Lead end-to-end design, architecture, and implementation of Salesforce Data Cloud solutions.
  • Define data models, ingestion strategies, identity resolution, harmonization, and activation of unified customer profiles.
  • Collaborate with business stakeholders to translate business objectives into scalable Data Cloud solutions.
  • Manage data governance, security, and compliance across multiple data sources.
  • Integrate Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, MuleSoft, Tableau, and external data platforms.
  • Provide guidance on AI/ML use cases, Data Cloud + Agentforce/Data Cloud + Einstein GPT integrations.
  • Mentor and lead a team of Salesforce professionals including admins, developers, and data engineers.
  • Define best practices for data ingestion, APIs, connectors, and real-time streaming pipelines.
  • Partner with enterprise architecture and data teams to align Data Cloud initiatives with overall data strategy.
  • Ensure performance tuning, monitoring, and ongoing optimization of Data Cloud implementations.

Requirements:

  • 10+ years of Salesforce platform experience with at least 3+ years dedicated to Data Cloud/Customer Data Platform (CDP).
  • Proven expertise in Salesforce architecture, data integration, and enterprise solution design.
  • Strong knowledge of ETL/ELT pipelines, APIs, connectors, and real-time streaming (Kafka, MuleSoft, Snowflake, Databricks, etc.).
  • Hands-on experience with data modeling, identity resolution, consent management, and profile unification.
  • Deep understanding of data governance, compliance (GDPR, CCPA), and security best practices.
  • Proficiency in SQL, data mapping, and data harmonization techniques.
  • Experience integrating Salesforce Data Cloud with AI tools, Data Cloud + Marketing Cloud activation, and personalization journeys.
  • Excellent leadership, communication, and stakeholder management skills.

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