Description
Role Summary :
We are seeking a highly skilled Salesforce Data Engineer with deep expertise in the Salesforce platform and a strong focus on building and operating Salesforce Data Cloud (D360) solutions. The ideal candidate will design, integrate, and maintain scalable, governed data pipelines that support data-driven Salesforce experiences, including analytics, automation, and Agentforce-powered workflows.
This role emphasizes reliable data ingestion, harmonization, identity resolution, and activation within Salesforce D360, including support for zero-copy data access patterns where appropriate to enable near real-time insights without unnecessary data duplication. The Salesforce Data Engineer partners closely with Salesforce Developers, Agentforce Engineers, Architects, and DevOps teams to deliver secure, high-quality, and performant data foundations that power intelligent automation and business decision-making.
Duties & Responsibilities
- Develop, integrate, and maintain Salesforce D360 solutions, including data ingestion, harmonization, transformation, identity resolution, calculated insights, and data activation.
- Design and operate data pipelines that source from Salesforce core objects and approved external platforms, including support for zero-copy or federated access patterns where applicable
- Enable trusted, governed data activation for downstream Salesforce capabilities, including Agentforce agents, Flows, analytics, and AI-assisted workflows
- Partner with Salesforce Developers and Agentforce Engineers to ensure data models and activations align with application, automation, and agent requirements
- Collaborate with Architects to define scalable data architecture patterns, canonical models, governance standards, and zero-copy strategies within the Salesforce ecosystem
- Monitor data freshness, quality, lineage, and performance, proactively identifying and resolving data pipeline or activation issues.
- Support CI/CD and release processes by validating Data Cloud configurations and changes across environments.
- Document data models, ingestion approaches, activation patterns, and zero-copy integrations to support operational excellence and onboarding
- Minimum 46 years of experience in data engineering, analytics engineering, or platform data integration. 2+ years of hands-on experience with Salesforce Data Cloud (D360) or comparable enterprise data platforms. Demonstrated experience working within the Salesforce ecosystem (Sales Cloud, Service Cloud, or Platform)
Requirements
Basic Qualifications :
Education : Bachelor`s degree in Computer Science, Information Technology, Engineering, or related field.
- Hands-on experience with Salesforce Data Cloud, including ingestion, harmonization, identity resolution, calculated insights, and data activation
- Experience designing and operating enterprise data pipelines, including familiarity with zero-copy or federated data access patterns
- Strong experience with tools such as Informatica, Azure Data Factory, and Databricks
- Strong understanding of Salesforce data models and platform concepts
- Ability to support AI- and agent-driven use cases by providing trusted, data-grounded inputs
- Experience working in Agile/Scrum development environments
- Strong analytical and problem-solving skills
(ref:hirist.tech)
