Salesforce Data Engineer

Salesforce Data Engineer
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 Agent force 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, Agent force Engineers,
Architects, and DevOps teams to deliver secure, high quality, and performant data foundations that power
intelligent automation and business decision making
Minimum Years of Experience 4–6 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)
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 zerocopy or federated access
patterns where applicable
• Enable trusted, governed data activation for downstream
Salesforce capabilities, including Agentforce agents, Flows,
analytics, and AIassisted 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 zerocopy 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 zerocopy integrations to support operational
excellence and onboarding
Basic Qualifications • Bachelor's degree in Computer Science, Information
Technology, Engineering, or related field.
• Handson 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 zerocopy 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 agentdriven use cases by
providing trusted, datagrounded inputs
• Experience working in Agile/Scrum development
environments
Preferred Qualifications • Experience integrating Salesforce Data Cloud (D360) with
external data platforms using zerocopy architectures (e.g.,
Snowflake or enterprise data lakes)
• Strong experience with Informatica and Azure Data
Factory
• Exposure to Agentforceenabled workflows and AIassisted
Salesforce capabilities
• Knowledge of agentic monitoring tools and performance
optimization techniques, utilizing AI-powered analytics for
proactive issue detection and resolution.
• Familiarity with Salesforce DevOps and CI/CD practices
• Salesforce certifications such as Data Cloud Consultant,
Administrator, or Platform App Builder
Knowledge of data governance, data quality, and privacy
controls in enterprise environments