Salesforce Data Cloud Engineer

Hatch Pros is seeking a hands-on Salesforce Data Cloud Engineer to support the design, implementation, and optimization of a unified customer data platform. The role focuses on building identity resolution, data modeling, and activation capabilities within Salesforce Data Cloud, requiring direct experience in managing data ingestion and configuration tasks.

Responsibilities:

• Design, build, and optimize Salesforce Data Cloud pipelines and data models
• Implement and manage identity resolution processes, including matching rules and unified profile creation
• Configure and maintain:
• Data Model Objects (DMOs)
• Data Graphs
• Calculated Insights
• Develop and support segmentation and activation workflows across Marketing Cloud, CRM, and external platforms
• Enable and optimize Salesforce Data Cloud capabilities beyond ingestion, including activation and downstream use cases
• Ensure data quality, consistency, and governance across all stages of the data lifecycle
• Collaborate with cross-functional teams to translate business requirements into scalable Data Cloud solutions
• Support ongoing enhancements and optimization of the customer data platform

Requirements:

• 5+ years of experience in data engineering, CDP, or CRM platforms
• 2+ years of hands-on Salesforce Data Cloud (Data 360) experience strongly preferred
• Proven experience working with: Data Model Objects (DMOs), Data Graphs, Identity resolution frameworks, Segmentation and activation workflows
• Strong SQL skills and experience working with large-scale datasets
• Experience with data ingestion, transformation, and modeling workflows
• Understanding of customer data platforms (CDP) and master data management (MDM) concepts
• Experience integrating and activating data across downstream systems (Marketing Cloud, CRM, etc.)
• Ability to clearly explain technical implementations and design decisions
• Required Hands-On Salesforce Data Cloud Experience: Candidates must have real-world, hands-on experience working within Salesforce Data Cloud (Data 360). This includes: Configuring and managing data ingestion pipelines, Building and maintaining Data Model Objects (DMOs) and Data Graphs, Implementing identity resolution strategies (deterministic and probabilistic matching), Enabling activation workflows and downstream data usage, Working directly within the platform to configure calculations, segmentation, and activation pipelines
• Candidates must be able to walk through end-to-end implementations, not just describe concepts
• Experience with streaming or event-driven data pipelines (Kafka, Kinesis, etc.)
• Experience with data warehouse platforms (e.g., Amazon Redshift, Snowflake)
• Experience with Python, dbt, or similar tools
• Experience with Reverse ETL or customer data activation tools
• Exposure to Salesforce ecosystem tools (Marketing Cloud, Service Cloud, etc.)