Salesforce Data Cloud Architect

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, BigQuery, AWS, Azure, etc.)

Third-party systems using APIs and connectors

Experience with middleware tools (MuleSoft preferred)

Ensure secure, scalable, and reliable data flows

Required Qualifications

Bachelors 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, BigQuery, AWS, Azure)

Knowledge of MuleSoft 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