Hybrid Data Engineer: Salesforce Data Cloud & AI Pipelines

Relias

Morrisville (NC)

On-site

USD 91,000 - 129,500

Full time

14 days+

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Benefits offered by this job

Excellent health benefits

401k match

Flexible PTO

Job summary

Relias LLC in Morrisville, NC is seeking a Data Engineer I to design and operate the revenue data platform powering analytics and AI across the customer lifecycle. You will build ingestion pipelines from Salesforce and other RevTech systems into Salesforce Data Cloud (Data 360) and maintain data models, identity resolution, and enrichment workflows.

The role collaborates with Revenue Technology, Salesforce architecture, and central data engineering to translate business needs into reliable data

Qualifications

Bachelor's Degree in computer science or related field.
2+ years in data engineering, with at least 1 to 2 years on Salesforce Data Cloud or comparable CDP and Salesforce data integration.
Hands-on experience with Salesforce Data Cloud (Data 360): data streams, connectors, ingestion, transforms, data model objects, identity resolution, and calculated insights.
Working knowledge of the Salesforce platform and revenue stack data structures (Salesforce CRM, Gong, Pardot/MCAE).
Programming in SQL and Python.

Responsibilities

Data Cloud Pipeline Development: Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud (Data 360) from Salesforce CRM, Gong, Pardot (MCAE), and other revenue systems using native connectors, APIs, and streaming patterns.
Data Modeling and Identity Resolution: Build and maintain Data Cloud data models, mapping to the canonical data model, and configure identity resolution rulesets to unify customer and account data across sources.
AI and Agentforce Enablement: Prepare, structure, and govern the data foundation that grounds Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
Cross-Platform Integration and Enrichment: Integrate Data Cloud with the Relias Information Hub on Databricks, and integrate and maintain enrichment pipelines from providers such as ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay into Salesforce and Data Cloud, including match and dedupe logic, field survivorship, and monitoring of match rates and data freshness.
Data Quality, Governance, and Troubleshooting: Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls, and identify, diagnose, and resolve data issues promptly.
Documentation: Create and maintain documentation for pipelines, data models, mappings, and integration patterns.