Salesforce Data Cloud Architect
New
E
EnxooTelecommunications data
Workplace type: remote; Locations: Warszawa, Al. Jerozolimskie 123A, Warszawa, Country code: PLContractSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English; Languages: pl C2, en C1
- Experience
- Minimum 3 years of Salesforce experience, including at least 1 commercial project involving Data Cloud
- Required Skills
- SalesforceREST APIData modeling
Requirements
- Have a minimum of 3 years of Salesforce experience.
- Have at least 1 commercial project involving Data Cloud.
- Know Salesforce Data Cloud architecture, including data streams, data models, identity resolution, and activation.
- Have hands-on data integration experience with REST/SOAP API, MuleSoft, or similar.
- Understand data governance principles and GDPR compliance.
- Be able to design ERDs, semantic data models, and profile unification strategies.
- Be fluent in English.
- Hold a Salesforce Data Cloud Consultant certification or have documented equivalent experience.
- Telecommunications industry experience, including BSS/OSS, billing, or Telco CRM, is a plus.
- Familiarity with Salesforce Communications Cloud or Industries Cloud is a plus.
- Additional Salesforce Data Cloud Architect, Integration Architect, or System Architect certifications are a plus.
- Experience with Marketing Cloud or Agentforce is a plus.
Responsibilities
- Design semantic data models and profile unification strategies for telecommunications clients.
- Create migration blueprints for transitioning legacy systems to Salesforce Data Cloud.
- Develop cross-cloud integration architecture across CDP, CRM, and BSS/OSS.
- Build data governance frameworks aligned with GDPR requirements.
- Design identity resolution and customer data privacy models.
- Define data quality policies and data lifecycle management standards.
- Configure and deploy Salesforce Data Cloud in telecommunications project environments.
- Optimize queries, partitioning, and data performance at operator scale.
- Plan infrastructure scalability.
- Translate technical decisions into business-friendly language and work with teams and clients.
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