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Salesforce Data Cloud Architect

Job in 411001, Pune, Maharashtra, India
Listing for: Accelirate Inc.
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Position:
Salesforce Data Cloud Architect

Work Mode:
Hybrid

Overview:

We are looking for a Salesforce Data Cloud Architect (Data 360) with strong expertise across both the legacy Salesforce CDP (Customer Data Platform / Genie) and the current Salesforce Data Cloud ecosystem. The candidate should have deep technical knowledge of Data Cloud architecture, SQL, Einstein Prediction AI, external data integrations, and Salesforce Marketing Cloud to support enterprise-scale, data-driven use cases.

Key Responsibilities:

Salesforce Data Cloud (Old & New Ecosystem)

• Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie)

• Work extensively with Data Streams, Data Lake Objects (DLOs), Unified Profiles, Calculated Insights, and Identity Resolution

• Manage ingestion of structured and semi-structured data from Salesforce and external platforms

• Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities

Einstein AI & Predictive Capabilities

• Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data

• Build and deploy predictive models such as propensity scoring, churn prediction, and segmentation intelligence

• Enable AI-driven insights and personalization use cases leveraging Data Cloud

SQL & Data Engineering

• Strong hands-on experience with SQL for

• Calculated Insights

• Data transformation and validation

• Performance optimization

• Solid understanding of analytical and relational data modelling

Integrations

• Design and implement integrations between Salesforce Data Cloud and:

• External data platforms (Snowflake, Big Query, AWS, Azure, etc.)

• Third-party systems using APIs and connectors

• Experience with middleware tools (Mule Soft preferred)

• Ensure secure, scalable, and reliable data flows

Required Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, or equivalent experience

• 6+ years of experience in the Salesforce ecosystem

• 3+ years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360)

• Strong expertise in Data Cloud architecture, Agentforce, Marketing Cloud, SQL, and Einstein Prediction AI

• Experience with external data integrations and Salesforce Marketing Cloud activation

Preferred Qualifications

• Salesforce certifications in Data Cloud, AI /Data 360, Agentforce, Advanced Admin

Marketing Cloud is a nice addition

• Good working knowledge of Salesforce and Marketing Cloud, Tableau Next, Salesforce Service Cloud, Salesforce Service Cloud, Agentforce

• Experience with cloud data platforms (Snowflake, Big Query, AWS, Azure)

• Knowledge of Mule Soft or similar integration tools

• Understanding of data privacy, consent management, and governance

• Experience with real-time personalization and cross-cloud activation

Soft Skills

• Strong communication and stakeholder management abilities.

• Strategic thinker with problem-solving and analytical mindset

• Ability to mentor junior engineers and contribute to team development

• Proven experience in leading cross-functional
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