Salesforce Data 360 Engineer: Real-Time Customer 360

TechDigital Group

New York (NY)

Híbrido

USD 120 000 - 170 000

Tempo integral

Há 2 dias
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Resumo da oferta

TechDigital Group seeks an experienced Salesforce Data 360 Engineer in New York to design and implement customer data integration, unification, and activation using Data Cloud. You will build data pipelines with Data Streams, Ingestion, Modeling, and Mapping, tying together Salesforce CRM, Marketing Cloud, Snowflake, and Databricks.

Knowledge of data governance, security, and privacy is essential. The role emphasizes hands-on work with Einstein AI, AI-driven personalization, and real-time

Qualificações

  • Strong hands-on experience with Salesforce Data 360 (Data Cloud).
  • Expertise in Data Streams, Data Ingestion, Data Modeling, and Data Mapping.
  • Experience with Identity Resolution, Unified Customer Profiles, and Data Harmonization.
  • Hands-on experience with Calculated Insights, Segmentation, and Data Activation.
  • Strong knowledge of SQL, REST APIs, and data integration.
  • Experience integrating Salesforce CRM, Marketing Cloud, Snowflake, and Databricks.
  • Knowledge of Zero Copy Data Federation and real-time data processing.
  • Experience with Salesforce Einstein AI, Agentforce, and AI-driven personalization.
  • Understanding of data governance, security, and privacy.

Responsabilidades

  • Design and implement customer data integration, unification, and activation solutions using Salesforce Data Cloud.
  • Apply Data Streams, Ingestion, Modeling, and Mapping to build reliable data flows.
  • Incorporate Identity Resolution, Unified Profiles, and Data Harmonization in solutions.
  • Develop calculated insights, segmentation, and data activation capabilities.
  • Leverage SQL and REST APIs to integrate disparate data sources.
  • Integrate Salesforce CRM, Marketing Cloud, Snowflake, and Databricks into data pipelines.
  • Apply Zero Copy Data Federation and real-time processing techniques.
  • Utilize Salesforce Einstein AI, Agentforce, and AI-driven personalization features.
  • Ensure data governance, security, and privacy throughout pipelines.

Conhecimentos

Salesforce Data 360 (Data Cloud)
Data Streams
Data Ingestion
Data Modeling
Data Mapping
Identity Resolution
Unified Customer Profiles
Data Harmonization
Calculated Insights
Segmentation
Data Activation
SQL
REST APIs
Data integration
Real-time data processing
Salesforce Einstein AI
Agentforce
AI-driven personalization
Data governance
Security
Privacy

Ferramentas

Salesforce Data Cloud
Snowflake
Databricks

Descrição da oferta de emprego

TechDigital Group seeks an experienced Salesforce Data 360 Engineer in New York to design and implement customer data integration, unification, and activation using Data Cloud. You will build data pipelines with Data Streams, Ingestion, Modeling, and Mapping, tying together Salesforce CRM, Marketing Cloud, Snowflake, and Databricks.

Knowledge of data governance, security, and privacy is essential. The role emphasizes hands-on work with Einstein AI, AI-driven personalization, and real-time

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