- Company Name
- Cook Systems
- Job Title
- Salesforce Software Engineer (Profiles Team)
- Job Description
-
**Job Title**
Salesforce Software Engineer (Profiles Team)
**Role Summary**
Design, build, and maintain end‑to‑end data pipelines and profile services in Salesforce Data Cloud. Enable high‑quality identity resolution, golden records, and privacy‑safe activation across Marketing Cloud, Advertising, and Sales/Service channels. Drive data governance, CI/CD, and cross‑functional integration with analytics, ML, and downstream platforms.
**Expectations**
- Deliver scalable, reliable data pipelines and profile models.
- Ensure GDPR/CCPA compliance and PII/PHI protection.
- Translate business use cases into Data Cloud data structures, segments, and event‑driven activation.
- Maintain operational excellence through automated quality checks, monitoring, and SLA reporting.
**Key Responsibilities**
- Design and implement Data Cloud pipelines (Data Streams, DMOs, Calculated Insights).
- Build & optimize segments, activation flows, and privacy‑safe matching across Marketing Cloud, Advertising platforms, and CRM.
- Define deterministic/probabilistic identity resolution rulesets and tune for precision/recall.
- Enforce data governance, consent modeling, and compliance across ingestion, unification, and activation.
- Collaborate with Marketing, Product, and CRM teams to translate business needs into Data Cloud data models and insights.
- Set up CI/CD pipelines, automated data quality checks, monitoring, lineage, and SLA reporting.
- Work with Lakehouse Federation/Zero‑Copy patterns on Amazon Redshift/Databricks for analytics and ML integration (Einstein Studio or external).
- Liaise with DevOps and data ops to support reverse ETL, data warehouse integrations, and model operationalization.
**Required Skills**
- 5+ years data engineering/CRM/CDP experience; 2+ years Salesforce Data Cloud (or equivalent CDP).
- Strong SQL, data modeling, ETL/ELT, streaming (Kafka/Kinesis), APIs, Git‑based CI/CD.
- Hands‑on with Data Cloud entities: DMOs, Data Graphs, Calculated Insights, Segments, Activation.
- Proven activation across Marketing Cloud, Advertising, and Sales/Service.
- Identity resolution (deterministic & probabilistic) expertise; tuning for precision/recall.
- Data governance, privacy/consent (GDPR/CCPA) and protection of PII/PHI knowledge.
- Familiarity with Python/dbt, MDM tools, Reverse ETL, Amazon Redshift, Einstein Studio, and model operationalization (Copado).
- Excellent problem‑solving, communication, and cross‑functional collaboration skills.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
- Salesforce certifications (e.g., Salesforce Platform App Builder, Data Architecture & Management Designer) preferred.