Data Platform & Data Engineering (Senior/Lead/Principal)
Role details
Job location
Tech stack
Job description
Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments.
Data Cloud. Big Data Compute platform team.
Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models.
Requirements
- Related technical degree required
- Strong understanding of distributed systems design, including scalability, fault tolerance, and consistency trade-offs in large-scale data platforms
- 7+ years of backend software development experience building large-scale distributed systems
- Strong programming skills: Java (strongly preferred); Python or Rust are strong pluses
- Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data systems Experience with big data and data platform technologies such as Spark, Flink, Kafka, Trino, HBase, or similar
- Strong experience with public cloud platforms, especially AWS or GCP Strong experience with Kubernetes and container orchestration
- Experience operating data platforms or infrastructure services at enterprise scale
- Experience owning and operating multiple instances of mission-critical services
- Experience building or operating observability systems, telemetry pipelines, or monitoring platforms
- Experience using metrics, logging, and telemetry to drive operational excellence Experience with Agile development and Test Driven Development
Benefits & conditions
benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
