Salesforce Data Cloud Architect

ZettaMine Labs Pvt. Ltd.; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

ZettaMine Labs Pvt. Ltd. is seeking an experienced Salesforce Data Cloud Architect to lead the design and implementation of enterprise-scale data architectures.

You will own end-to-end architecture for Customer 360, real-time insights, data activation, and AI-driven use cases, collaborating with business and technology stakeholders. The ideal candidate has 10+ years IT experience, deep Salesforce Data Cloud knowledge, and a proven track record in data governance, integration, and security within

Qualifications

• 10+ years of overall IT experience.
• Strong experience in the Salesforce ecosystem, preferably with 5+ years of Salesforce experience.
• Strong hands-on experience with Salesforce Data Cloud / Data 360.
• Solid understanding of Salesforce Platform Architecture.
• Strong knowledge of Customer 360, CDP, and MDM concepts
• Experience designing enterprise data integrations using APIs, MuleSoft, batch, and real-time integration patterns.
• Strong understanding of data ingestion, data modelling, identity resolution, and data activation.
• Experience with data governance, security, consent, privacy, and data quality.
• Strong solution design and enterprise architecture capabilities.
• Excellent stakeholder communication, collaboration, and technical leadership skills.

Responsibilities

• Lead and own the end-to-end Salesforce Data Cloud / Data 360 architecture.
• Design scalable enterprise data architectures aligned with business and technical requirements.
• Define architecture standards, patterns, and best practices for Data Cloud implementations.
• Design unified customer profiles and Customer 360 solutions.
• Identity Resolution & Data Unification
• Design and implement identity resolution strategies to create unified customer profiles.
• Define data models and processes for integrating data from multiple sources.
• Work with MDM and CDP concepts to ensure consistent and reliable customer data.
• Data Integration & Ingestion
• Architect data ingestion and integration solutions using APIs, MuleSoft, batch, and real-time integrations.
• Define integration patterns between Salesforce Data Cloud and external enterprise systems.
• Ensure scalable, secure, and reliable data movement across platforms.
• Data Activation
• Enable data activation across Sales Cloud, Service Cloud, Experience Cloud, and Marketing Cloud.
• Design solutions to make unified customer data available for business processes and customer engagement.
• Support real-time insights and personalized customer experiences.
• Data Governance & Security
• Define and implement data governance, security, consent, privacy, and data quality standards.
• Ensure Salesforce Data Cloud solutions comply with enterprise security and governance requirements.
• Establish appropriate data access and security controls.
• AI & Advanced Analytics
• Support AI, Einstein, Agentforce, and advanced analytics use cases using Salesforce Data Cloud.
• Enable trusted and unified data foundations for AI-driven business solutions.
• Collaborate with AI and analytics teams to support Customer 360 and intelligent automation initiatives.
• Technical Leadership
• Act as the Salesforce Data Cloud SME and provide technical guidance to development and architecture teams.
• Review solution designs and ensure alignment with Salesforce and enterprise architecture standards.
• Mentor teams and guide them on Data Cloud implementation best practices.
• Collaborate with business stakeholders, product teams, developers, and other technical architects.

Skills

Salesforce Data Cloud

Data Cloud Architecture

Customer 360

Identity resolution

APIs integration

MuleSoft

Data governance

AI / Analytics

Technical leadership

Stakeholder comms

Tools

MuleSoft

Salesforce Platform

Job description

Job Title: Salesforce Data Cloud Architect

Experience: 10+ Years

Notice Period: Immediate Joiners

Detailed Job Description

Role Summary :

-----------------

We are looking for an experienced Salesforce Data Cloud / Data 360 Architect to lead the design and implementation of enterprise-scale data architectures using Salesforce Data Cloud (Data 360).

The role will focus on enabling Customer 360, real-time insights, data activation, and AI-driven use cases across Salesforce Clouds. The candidate will own end-to-end architecture, provide technical leadership, establish best practices, and work closely with business and technology stakeholders.

Key Responsibilities :

-----------------------

• Lead and own the end-to-end Salesforce Data Cloud / Data 360 architecture.
• Design scalable enterprise data architectures aligned with business and technical requirements.
• Define architecture standards, patterns, and best practices for Data Cloud implementations.
• Design unified customer profiles and Customer 360 solutions.

Identity Resolution & Data Unification

• Design and implement identity resolution strategies to create unified customer profiles.
• Define data models and processes for integrating data from multiple sources.
• Work with MDM and CDP concepts to ensure consistent and reliable customer data.

Data Integration & Ingestion

• Architect data ingestion and integration solutions using APIs, MuleSoft, batch, and real-time integrations.
• Define integration patterns between Salesforce Data Cloud and external enterprise systems.
• Ensure scalable, secure, and reliable data movement across platforms.

Data Activation

• Enable data activation across Sales Cloud, Service Cloud, Experience Cloud, and Marketing Cloud.
• Design solutions to make unified customer data available for business processes and customer engagement.
• Support real-time insights and personalized customer experiences.

Data Governance & Security

• Define and implement data governance, security, consent, privacy, and data quality standards.
• Ensure Salesforce Data Cloud solutions comply with enterprise security and governance requirements.
• Establish appropriate data access and security controls.

AI & Advanced Analytics

• Support AI, Einstein, Agentforce, and advanced analytics use cases using Salesforce Data Cloud.
• Enable trusted and unified data foundations for AI-driven business solutions.
• Collaborate with AI and analytics teams to support Customer 360 and intelligent automation initiatives.

Technical Leadership

• Act as the Salesforce Data Cloud SME and provide technical guidance to development and architecture teams.
• Review solution designs and ensure alignment with Salesforce and enterprise architecture standards.
• Mentor teams and guide them on Data Cloud implementation best practices.
• Collaborate with business stakeholders, product teams, developers, and other technical architects.

Required Skills & Experience :

---------------------------------

• 10+ years of overall IT experience.
• Strong experience in the Salesforce ecosystem, preferably with 5+ years of Salesforce experience.
• Strong hands-on experience with Salesforce Data Cloud / Data 360.
• Solid understanding of Salesforce Platform Architecture.
• Strong knowledge of Customer 360, CDP, and MDM concepts.
• Experience designing enterprise data integrations using APIs, MuleSoft, batch, and real-time integration patterns.
• Strong understanding of data ingestion, data modelling, identity resolution, and data activation.
• Experience with data governance, security, consent, privacy, and data quality.
• Strong solution design and enterprise architecture capabilities.
• Excellent stakeholder communication, collaboration, and technical leadership skills.