Solution Architect Salesforce Data Cloud

Year    TN, IN, India

Job Description

Are you passionate about architecting intelligent customer data solutions that drive personalized engagement and business growth? Join

LevelShift

as a

Solution Architect Salesforce Data Cloud

, where youll lead the design and implementation of scalable Customer Data Platform (CDP) solutions that unify data, unlock insights, and enable data-driven marketing and personalization across the enterprise.


In this role, you will collaborate with clients and cross-functional teams to architect data ingestion, identity resolution, and activation workflowsbridging technology and business strategy to deliver measurable impact.


What Youll Do




As a Solution Architect

at

LevelShift

, you will:


Lead Salesforce Data Cloud Implementation:

Own the end-to-end setup, configuration, and deployment of

Salesforce Data Cloud (CDP)

to consolidate customer data across multiple systems.

Gather & Analyze Requirements:

Partner with business stakeholders to understand

data sources, customer journeys, and business goals

that inform CDP design.

Design Data Ingestion Pipelines:

Architect and implement

data ingestion workflows

from CRM, web, POS, marketing, and third-party systems using APIs and ETL tools.

Configure Identity Resolution & Unification:

Define and optimize

Identity Resolution rules, Unification processes, and Data Model Objects (DMOs)

to create a unified customer profile.

Build Insights & Activation:

Develop

Calculated Insights

, audience

segments

, and

activation workflows

that connect Data Cloud with external platforms such as

Marketing Cloud

, ad platforms, or analytics tools.

Ensure Compliance & Data Governance:

Apply

consent and privacy rules

in data modeling and activation processes to align with global compliance standards.

Collaborate Cross-Functionally:

Work closely with

Marketing, IT, and Analytics teams

to ensure seamless integration and business alignment.

Optimize & Support:

Troubleshoot data ingestion, unification, and activation issues, and provide

training and technical guidance

to end users and internal teams.

Your Skillset




Were looking for a solution-driven architect with deep expertise in Salesforce Data Cloud

and enterprise data integration.


5+

years in data architecture, data integration, or Salesforce ecosystem roles.

Salesforce Expertise:

Proven experience implementing and configuring

Salesforce Data Cloud

(CDP).

Data Integration:

Skilled in

API-based data ingestion

(REST/SOAP) and

ETL tools

for connecting diverse systems.

Identity Resolution:

Strong understanding of

identity matching, unification logic, and data modeling best practices.

Technical Skills:

Data Ingestion & ETL Tools

Salesforce Marketing Cloud Integration

APIs & Data Integration (REST/SOAP)

Data Modeling & Schema Design

Identity Resolution & Matching Logic

SQL & JSON

Customer Data Platforms (CDPs) & DMPs

Analytics & Reporting

Compliance Knowledge:

Familiarity with

consent management

and

data privacy regulations

(GDPR, CCPA). Excellent analytical, communication, and stakeholder management skills.

Why LevelShift?




Lead transformative data initiatives leveraging the power of

Salesforce Data Cloud

and

AI-driven personalization

. Collaborate with enterprise clients on complex data architectures that enable unified customer experiences. Work in a dynamic environment with cross-functional experts across Salesforce, Marketing Cloud, and Integration technologies. Be part of a culture that values innovation, collaboration, and continuous learning. * If youre ready to architect intelligent customer data ecosystems that deliver connected, personalized experiences at scale,

apply now at joinus@levelshift.com

and help shape the future of customer data with LevelShift!

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Job Detail

  • Job Id
    JD4575986
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    TN, IN, India
  • Education
    Not mentioned
  • Experience
    Year