Salesforce Data Cloud Developer
Purple Drive, Chicago, IL, United States
Job Title:
Salesforce Data Cloud Developer
Location:
Chicago, IL / Remote
Experience:
6-8 Years
Job Description:
We are seeking an experienced
Salesforce Data Cloud Developer
with strong expertise in data integration, enterprise CRM architecture, and hands-on implementation of Salesforce Data Cloud (Data 360). The ideal candidate should have a proven track record of delivering end-to-end data solutions integrating Azure Databricks with Salesforce Data Cloud.
Key Responsibilities:
Lead and deliver at least one
end-to-end Salesforce Data Cloud (Data 360) implementation
in production Configure and manage
Data Cloud setup , including Data Spaces, roles, and permission sets Design and implement
Data Streams
for ingestion and manage Data Lake Objects (DLOs) Build and optimize
Identity Resolution rules
and data unification processes Implement
Zero-copy data federation
use cases Integrate
Azure Databricks with Salesforce Data Cloud , including connector setup Enable and manage
activation of data into Salesforce CRM Collaborate with business and technical teams to design scalable data architecture Technical Skills Required:
Strong experience in
Salesforce Data Cloud (Data 360) Hands-on expertise with
Azure Databricks integration Proficiency in:
Lightning Flow
(process automation) Apex
(custom logic, triggers, integrations) JavaScript Lightning Web Components (LWC)
Experience with:
Data Streams & Data Lake Objects (DLOs) Identity Resolution configuration & tuning Zero-copy and batch data ingestion patterns
Mandatory Requirements:
5+ years in
data integration / data platform engineering / CRM data architecture Minimum
1 full lifecycle Salesforce Data Cloud implementation
(hands-on) Proven experience integrating
Databricks with Salesforce Data Cloud Strong understanding of
Customer 360 data model
Salesforce Data Cloud Developer
Location:
Chicago, IL / Remote
Experience:
6-8 Years
Job Description:
We are seeking an experienced
Salesforce Data Cloud Developer
with strong expertise in data integration, enterprise CRM architecture, and hands-on implementation of Salesforce Data Cloud (Data 360). The ideal candidate should have a proven track record of delivering end-to-end data solutions integrating Azure Databricks with Salesforce Data Cloud.
Key Responsibilities:
Lead and deliver at least one
end-to-end Salesforce Data Cloud (Data 360) implementation
in production Configure and manage
Data Cloud setup , including Data Spaces, roles, and permission sets Design and implement
Data Streams
for ingestion and manage Data Lake Objects (DLOs) Build and optimize
Identity Resolution rules
and data unification processes Implement
Zero-copy data federation
use cases Integrate
Azure Databricks with Salesforce Data Cloud , including connector setup Enable and manage
activation of data into Salesforce CRM Collaborate with business and technical teams to design scalable data architecture Technical Skills Required:
Strong experience in
Salesforce Data Cloud (Data 360) Hands-on expertise with
Azure Databricks integration Proficiency in:
Lightning Flow
(process automation) Apex
(custom logic, triggers, integrations) JavaScript Lightning Web Components (LWC)
Experience with:
Data Streams & Data Lake Objects (DLOs) Identity Resolution configuration & tuning Zero-copy and batch data ingestion patterns
Mandatory Requirements:
5+ years in
data integration / data platform engineering / CRM data architecture Minimum
1 full lifecycle Salesforce Data Cloud implementation
(hands-on) Proven experience integrating
Databricks with Salesforce Data Cloud Strong understanding of
Customer 360 data model