Senior Cloud Data Engineer

Job Title: Salesforce Data Cloud Consultant

Location : Memphis, TN

Duration: 24+ months contract

ESSENTIAL JOB FUNCTIONS

• Design and implement Data Cloud pipelines (Data Streams, DMOs, Calculated Insights) to build a scalable Profile System with high-quality identity resolution and golden records.
• Build and optimize segments and activation to Marketing Cloud, Advertising platforms, Sales/Service, and Commerce with privacy-safe matching and deduplication.
• Define and implement identity resolution rulesets (deterministic/probabilistic), tuning for precision/recall, and measurable profile completeness.
• Implement data governance and consent modeling; ensure compliance (GDPR/CCPA) across ingestion, unification, and activation.
• Partner with Marketing, Product, and CRM teams to translate business use cases into Data Cloud data models, insights, and event-driven activation.
• Establish CI/CD, automated data quality checks, monitoring, lineage, and SLA reporting for ingestion and activation.
• Collaborate on Lakehouse Federation/Zero-Copy patterns with Amazon Redshift/Databricks for analytics and ML integration (Einstein Studio or external).

REQUIREMENTS

• 5+ years in data engineering/CRM/CDP
• 2+ years hands-on with Salesforce Data Cloud (or similar CDP).
• Strong SQL, identity resolution experience, and hands-on with Data Cloud entities (DMOs, Data Graphs, Calculated Insights, Segments, Activation).
• Proven activation experience across Marketing Cloud, Advertising, and Sales/Service.
• Experience with ETL/ELT, streaming (Kafka/Kinesis), APIs, and Git-based CI/CD.
• Strong understanding of privacy/consent and PII/PHI protection.
• Nice-to-Have: Python/dbt; MDM tools; Reverse ETL; Data warehouse experience (Amazon Redshift); Einstein Studio or model operationalization, Copado

Top 3 Skills : SQL, CRM/CDP, Salesforce Data cloud

For applications and inquiries, contact: hirings@openkyber.com