Salesforce Data Cloud Developer

Lorven Technologies Inc
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Cloud Engineering Extract Transform Load (ETL) Data Transformation Cloud Services Salesforce.Com SQL Databases Data Streaming Data Ingestion SOAPAPI Salesforce Sales Cloud Data Lakes
+7 more
Information Technology Integration Frameworks Restful APIs Data Pipelines Marketing Cloud User Identification Mulesoft

Job description

  • Design and implement Salesforce Data Cloud solutions and data models.
  • Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution.
  • Integration & Ingestion: Manage data pipelines using APIs, ETL tools, or MuleSoft to connect external data sources
  • Develop and manage data ingestion and integration using APIs, MuleSoft, and other ETL tools.
  • Configure Calculated Insights, Segmentation, and Data Actions.
  • Work with stakeholders to understand business requirements and translate them into scalable Data Cloud solutions.
  • Troubleshoot data quality, integration, and performance issues.
  • Collaborate with Salesforce developers, architects, and business teams.

Requirements

  • Bachelor’s degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
  • Must Have 4-6 years of Salesforce experience with strong hands-on Salesforce Data Cloud expertise.
  • Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.
  • Experience with Salesforce APIs, MuleSoft/integration tools, SQL, and data transformation.
  • Strong proficiency in SQL, data transformation concepts, and REST/SOAP APIs
  • Deep familiarity with Sales Cloud, Marketing Cloud, Service Cloud, and data privacy/compliance standards

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:08 min

Structuring a three-tier API architecture in MuleSoft

Nils Hünerberg · World Congress 2023

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:20 min

Introduction to multi-cloud development infrastructure

Sandeep Pal Sandeep Pal · Coffee With Developers

2:56 min

Core data lake environment and infrastructure requirements

Christoph Fassbach Christoph Fassbach +1 · World Congress 2024

2:19 min

Selecting and evaluating enterprise integration platforms

Nils Hünerberg · World Congress 2023

3:46 min

Navigating a career in cloud transformation consulting

Piet Van Dongen · LIVE

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