to design, implement, and optimize customer data solutions that unify, activate, and personalize customer experiences. You will play a key role in connecting Salesforce Data Cloud with Sales, Service, and Marketing Clouds -- driving business outcomes through data-driven decision-making and automation.
This role is ideal for professionals with a strong Salesforce foundation and a growing focus on
Data Cloud (formerly CDP/Genie)
implementations, data modeling, and identity resolution.
Key Responsibilities
Implement Salesforce Data Cloud solutions
including Data Streams, Data Model Objects (DMOs), Calculated Insights, and Data Actions.
Design and maintain
data ingestion pipelines
(batch and real-time) using APIs, ETL tools, or Mulesoft.
Configure
Identity Resolution, Segmentation, and Activation
for unified customer profiles.
Develop and optimize
data models and relationships
across Sales, Service, and Marketing Clouds.
Collaborate with business stakeholders to enable
Customer 360 use cases
such as personalization, analytics, and campaign targeting.
Ensure
data governance, quality, and compliance
with standards like GDPR and CCPA.
Use
SQL and JSON
to manage transformations, queries, and data mapping.
Work with Azure DevOps or Git-based pipelines for
metadata deployment
and CI/CD automation.
Troubleshoot data synchronization, matching, and ingestion errors in complex environments.
Prepare technical documentation, deployment plans, and end-user enablement materials.
Required Skills & Experience
4-6 years of Salesforce experience
, including
1-2 years in Data Cloud (CDP/Genie)
implementations.
Proven experience across
Sales Cloud or Service Cloud
for data integration and use-case design.
Strong proficiency in
SQL, JSON, and data modeling
for large, relational datasets.
Hands-on expertise in
Data Cloud setup
(Data Streams, Calculated Insights, Segmentation, Activation).
Understanding of
identity resolution and data unification
techniques.
Familiarity with
API integrations
,
ETL tools
, or
Mulesoft
for real-time/batch data flows.
Working knowledge of
Azure DevOps
, Git, or other CI/CD tools for Salesforce deployments.
Experience implementing
data governance, access control, and privacy policies
.
Ability to translate business data needs into scalable, technical Data Cloud solutions.
Strong communication skills and the ability to collaborate with technical and business teams.
Preferred Qualifications
Salesforce Data Cloud Consultant certification
(mandatory or in progress).
Exposure to
Marketing Cloud, Snowflake, BigQuery, or AWS Redshift
.
Marketing Cloud Consultant
certification is a plus.
Familiarity with
Tableau, or Analytics Cloud
for advanced insight generation.
Experience in
data architecture or data engineering
within CRM or customer analytics ecosystems.
Prior work on
Customer 360 enablement
or
multi-cloud Salesforce projects
.
Job Types: Full-time, Permanent
Projected Total Compensation: ₹1,000,000.00 - ₹2,500,000.00 per year
Application Question(s):
Are you an Immediate Joiner?
Willing to work in Hybrid model ?
Willing to relocate to Bangalore or Chennai or Hyderabad?
Why do you prefer joining a start up ?
Experience:
Data Cloud: 4 years (Required)
License/Certification: