Data Platform & Data Engineering (Senior/Lead/Principal)
Salesforce
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has location, quality description (6655 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
California - San Francisco
First seen 3 weeks, 1 day ago
Last seen 3 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design and build large-scale data pipelines, observability systems, and telemetry infrastructure that power metrics, logging, and real-time insights across Salesforce services
• Requires 7+ years of backend software development experience with strong distributed systems fundamentals, Java proficiency, and expertise in big data technologies like Spark, Kafka, and Trino
• Must have demonstrated experience operating mission-critical data platforms at enterprise scale with public cloud (AWS/GCP), Kubernetes, and monitoring/observability systems
• Role focuses on optimizing Spark performance, solving distributed systems challenges, and building scalable infrastructure for AI workloads including language models
• Apply once and have your resume reviewed by multiple hiring teams across the organization for related software engineering roles
Skills
go
aws
kubernetes
java
python
rust
Quick Actions
Job Information
-
Company:
Salesforce -
Location:
California - San Francisco -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
66
/100
Likely Active (66)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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