Job Title: Salesforce Data Cloud Technical Architect

Experience: 8+ Years

Budget: 2 LPM
Location: Remote – Pan India
Working Hours: 2:00 PM–10:00 PM IST

Role Overview

We are looking for an experienced Salesforce Data Cloud Technical Architect to lead the architecture, design, and implementation of enterprise-scale customer data platforms using Salesforce Data Cloud.

The ideal candidate will have solid hands-on experience in Salesforce Data Cloud, Customer 360, identity resolution, data modeling, data ingestion, real-time integrations, and audience activation. The candidate should be capable of translating complex business requirements into scalable, secure, and high-performing data architecture solutions.

This role involves working closely with business stakeholders, enterprise architects, Salesforce development teams, integration teams, and data engineering teams to deliver unified customer profiles, advanced segmentation, personalized customer experiences, and AI-driven business capabilities.

Key Responsibilities

Architecture and Solution Design

- Lead the end-to-end architecture, design, and implementation of Salesforce Data Cloud solutions.
- Design scalable customer data platforms that consolidate customer information from multiple enterprise systems.
- Define Customer 360 architecture integrating Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, and Agentforce.
- Establish architectural standards for data ingestion, transformation, harmonization, identity resolution, segmentation, and activation.
- Design batch, near-real-time, and streaming integration patterns based on business requirements.

Data Modeling and Customer Identity

- Design and implement Data Cloud data structures, including Data Lake Objects (DLOs), Data Model Objects (DMOs), and relevant calculated insight structures.
- Develop unified customer profiles by mapping and harmonizing data from multiple sources.
- Configure identity resolution rules, matching criteria, and reconciliation strategies.
- Implement data quality, governance,



stewardship, consent management, and privacy controls.
- Optimize data models and processing strategies for performance, scalability, and data accuracy.

Integration and Data Connectivity

- Architect integrations between Salesforce Data Cloud and Salesforce CRM applications, Marketing Cloud Engagement, MuleSoft, Snowflake, Databricks, AWS, Azure, and other enterprise platforms.
- Design API-based, event-driven, batch, and streaming integration solutions.
- Define data ingestion strategies using supported connectors, APIs, and external data sources.
- Collaborate with integration and data engineering teams to troubleshoot data mapping, ingestion, synchronization, and connectivity issues.
- Establish integration standards for reliability, monitoring, security, and scalability.

AI, Analytics, and Customer Engagement

- Enable AI-powered customer engagement and analytics use cases using Salesforce Data Cloud.
- Design data architectures that support Einstein AI, Agentforce, predictive analytics, and Next Best Action scenarios.
- Enable customer segmentation and audience activation across supported Salesforce and external destinations.
- Support personalization, customer insights, and data-driven decision-making initiatives.
- Ensure relevant, governed customer data is available to downstream AI and engagement applications.

Technical Leadership and Governance

- Lead architecture reviews, technical assessments, and design discussions.
- Translate business requirements into technical architecture documents, integration designs, and implementation roadmaps.
- Mentor Salesforce developers, technical leads, and solution architects.




- Define reusable architectural patterns, implementation standards, and technical best practices.
- Participate in client workshops, requirement discovery, solution estimation, and pre-sales discussions where required.

Security and Compliance

- Define secure data access, sharing, and governance models.
- Implement appropriate role-based access, permissions, consent, and data protection controls.
- Align architecture with applicable privacy and compliance requirements, including GDPR, CCPA, and HIPAA where relevant.
- Ensure sensitive customer data is handled according to organizational security and compliance policies.

Required Qualifications

- 8+ years of relevant experience in Salesforce, enterprise data architecture, integration architecture, or related technical domains.
- Strong hands-on implementation experience with Salesforce Data Cloud.
- Experience designing Customer 360 solutions and unified customer profiles.
- Strong understanding of Data Streams, DLOs, DMOs, identity resolution, calculated insights, segmentation, and activation.
- Experience with data modeling, SQL, data warehousing, ETL/ELT, and data quality concepts.
- Strong understanding of REST/SOAP APIs, data integration patterns, and event-driven architectures.
- Experience integrating Salesforce with enterprise data platforms and external systems.
- Familiarity with MuleSoft, Snowflake, Databricks, AWS, Azure, or comparable enterprise technologies.
- Ability to lead technical discussions, manage stakeholders, and make architecture decisions.
- Strong communication, analytical, troubleshooting, and documentation skills.

Preferred Qualifications

- Salesforce Certified Data Cloud Consultant.
- Salesforce Certified System Architect or Application Architect.
- Salesforce Certified Integration Architect.
- Salesforce Certified AI Associate or Agentforce Specialist.
- MuleSoft Architect certification.
- TOGAF certification or equivalent enterprise architecture experience.

Work Location: Remote

📌 Hiring Salesforce Data Cloud Technical Architect (India)
🏢 Haparz
📍 India