Salesforce Data 360 Engineer

TechDigital Group; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Tools

Salesforce Data Cloud

Snowflake

Databricks

Job description

Job Description:

Seeking an experienced Salesforce Data 360 Engineer to design, develop, and implement customer data integration, unification, and activation solutions using Salesforce Data Cloud.

Key Skills & Responsibilities:

• 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.

Preferred: Salesforce Data Cloud Consultant certification and experience implementing enterprise Customer 360 solutions.