Responsibilities
- Develop and manage data ingestion and transformation workflows into Salesforce Data Cloud from Salesforce CRM, Gong, Pardot (MCAE), and other revenue-related platforms using native connectors, APIs, and real-time streaming methods.
- Construct and oversee Data Cloud data models aligned with the canonical schema, and set up identity resolution configurations to consolidate customer and account records across multiple sources.
- Organize, format, and manage the core data infrastructure that supports Agentforce, including handling unstructured data, to ensure agents use accurate, timely, and properly authorized data.
- Connect Data Cloud with the enterprise data platform on Databricks, and manage third-party data enrichment integrations from sources like ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay, including matching logic, deduplication, field prioritization, and tracking of match performance and data timeliness.
- Maintain high standards for data correctness, uniformity, traceability, and protection through validation processes, ongoing monitoring, and security controls, while quickly identifying and resolving data problems.
- Produce and keep current documentation for data pipelines, schemas, field mappings, and integration designs.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Part of the data and analytics team focused on revenue operations and AI enablement
Responsibilities
- 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.
- 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.
- Prepare, structure, and govern the data foundation that grounds Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
- 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.
- Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls, and identify, diagnose, and resolve data issues promptly.
- Create and maintain documentation for pipelines, data models, mappings, and integration patterns.
Not available
