SALESFORCE DATA CLOUD ARCHITECT/LEAD ANALYST

4 - 6 years

7 - 9 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Lead end-to-end

    architecture, design, and implementation

    of Salesforce Data Cloud
  • Define and optimize

    data architecture layers (DLO, DMO, DSO)

    for scalability and cost efficiency
  • Establish best practices for

    data ingestion, identity resolution, unification, calculated insights, and activation

  • Analyze and optimizecredit consumption

    across ingestion, federation, acceleration, and activation
  • Partner with enterprise data platforms (Snowflake, Databricks, MDM) to enable

    zero-copy or accelerated data flows

  • Define and enforcedata governance, security, lineage, and compliance

    standards
  • Oversee integrations with

    Salesforce Marketing Cloud, Sales Cloud, Service Cloud

    , and third-party systems
  • Act as the

    technical authority and solution advisor

    for all Salesforce Data Cloud initiatives
  • Mentor consultants and associates; create

    architectural templates and reusable components

Required Skills & Experience

  • 8+ years

    of experience in data architecture, CDP, or MarTech ecosystems
  • 34 years

    of hands-on experience with

    Salesforce Data Cloud (Genie/CDP)

  • Strong understanding ofCDP architecture principles

    , identity graphs, consent models, and data federation
  • Proven expertise in

    Salesforce Data Cloud credit models

    and cost-optimization strategies
  • Experience integrating Salesforce Data Cloud with

    Marketing Cloud

    and enterprise systems using APIs, MuleSoft, or data pipelines
  • Ability to translate complex data ecosystems into

    clear, scalable architectural blueprints

  • Strong leadership, communication, and stakeholder management skills

Good to Have

  • Salesforce certifications:

    Data Cloud Consultant, Application Architect, Marketing Cloud Architect

  • Experience with other CDPs such asAdobe Experience Platform, Segment, Tealium, Treasure Data

  • Knowledge ofmodern data architectures

    (Snowflake, Databricks, Lakehouse, Data Mesh)
  • Familiarity with

    data privacy and governance frameworks

    (GDPR, CCPA, HIPAA)

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