Senior Data Platform Engineer – Cybersecurity (SaaS/Spark)

Salesforce, Inc.; Northern (KY); Hybrid; USD 117,000 - 260,000; Full time

Benefits offered by this job

time off programs

medical

dental

vision

mental health support

paid parental leave

life and disability insurance

401(k)

employee stock purchasing program

Job summary

Salesforce, Inc. seeks a Senior Member of Technical Staff to lead the design and hands-on build of a next‑gen Cybersecurity Data Platform. You will shape architecture, implement scalable pipelines, and drive a multi‑tenant SaaS evolution across global data flows.

You will mentor engineers, collaborate with data producers and consumers, and optimize for performance and security while guiding DevOps practices and cost efficiency.

Qualifications

• 5+ years in software development with SaaS/PaaS/IaaS and high availability systems.
• Experience building large-scale data platforms using Spark and cloud services.
• Strong data governance and API design capabilities.

Responsibilities

• Architect and implement roadmap for Security Data Platform with scalable, secure design.
• Evolve platform into multi-tenant SaaS serving global customers.
• Lead hands-on development of scalable, secure platform components.
• Design self-service onboarding tools and high-performance APIs for data producers/consumers.
• Mentor engineers and set engineering standards.

Skills

SaaS architectures

Distributed systems

Data pipelines

Spark

OpenAPI

Cloud native

DevOps mindset

Cross-functional collaboration

Performance tuning

Cost optimization

Education

M.Sc./M.Eng or B.A./B.Sc. in CS/Engineering

Tools

Apache Spark

AWS S3

Streaming/batch pipelines

OpenAPI

Job description

Salesforce, Inc. seeks a Senior Member of Technical Staff to lead the design and hands-on build of a next‑gen Cybersecurity Data Platform. You will shape architecture, implement scalable pipelines, and drive a multi‑tenant SaaS evolution across global data flows.

You will mentor engineers, collaborate with data producers and consumers, and optimize for performance and security while guiding DevOps practices and cost efficiency.