Salesforce DPE

Role Overview

We are looking for an experienced Salesforce DPE (Data Processing Engine) Developer who can design, build, and optimize large-scale data processing workflows within Salesforce. The ideal candidate must have strong hands-on experience with Salesforce Data Cloud / Salesforce DPE, data modeling, integrations, and performance optimization.

Key Responsibilities

• Develop, configure, and optimize Salesforce Data Processing Engine (DPE) workflows and pipelines.
• Build efficient data transformations, aggregations, and data quality rules within DPE.
• Work with cross-functional teams to understand data requirements and translate them into scalable DPE solutions.
• Manage and improve data ingestion, processing, and orchestration tasks.
• Ensure high performance, reliability, and scalability of DPE workflows.
• Implement data governance, validation, and deduplication strategies.
• Troubleshoot data processing issues and ensure timely resolution.
• Integrate DPE with Salesforce Data Cloud, APIs, external systems, and ETL platforms.
• Maintain technical documentation and best practices for DPE usage.

Required Skills

• 4+ years of hands-on experience in Salesforce Data Processing Engine (DPE) or Salesforce Data Cloud.
• Strong understanding of data transformation, data modeling, and data pipeline design.
• Experience with Salesforce CRM, APIs, SOQL/SOSL, and Salesforce integration patterns.
• Proficiency in handling structured/unstructured data within Salesforce.
• Knowledge of ETL/ELT concepts, orchestration tools, and data quality frameworks.
• Strong debugging, analytical, and performance optimization skills.

Good-to-Have Skills

• Experience with Salesforce CDP, MDM concepts, or large-scale enterprise data platforms.
• Knowledge of Apex, Lightning Web Components (LWC), or other Salesforce clouds.
• Familiarity with Python, SQL, or other scripting languages for data processing.
• Understanding of cloud platforms (AWS, Azure, GCP) and data integration tools.