CareerPlan

Data Platform Engineer, Senior Staff

San Diego, California, United States of AmericaFull-time2026-09-17 → 2026-11-10
On-siteNo visa sponsorship

Core

Design, build, and operate a modern data platform using Databricks Lakehouse as the core foundation.

Role type

Senior Staff Data Platform Engineer

Builds

Scalable, distributed data platform systems, end-to-end data pipelines, and cloud infrastructure.

Domain

Cloud Infrastructure & Data Engineering

Deliverable

production ML models

Required skills

System design, Cloud infrastructure, Data pipelines, Infrastructure as Code, CI/CD, Python, Bash, AWS, Databricks, Amazon EKS, Terraform, SQL, NoSQL

Preferred skills

Data observability, Data ingestion tools, Secret management, Policy-as-code, Static code analysis, Data lineage, Serverless compute optimization

Technologies

Databricks, AWS, Terraform, Terramate, Amazon EKS, Unity Catalog, Delta Lake, MLflow, GitHub Actions, Jenkins, Helm, OPA, Sonar

Responsibilities

Design and build scalable distributed data platform systems, Own Databricks workspace architecture and governance, Implement infrastructure as code, Build and support end-to-end data pipelines, Develop and maintain CI/CD pipelines, Operate and optimize Amazon EKS clusters, Define and monitor SLIs/SLOs, Lead incident response and post-mortems, Implement security and compliance controls, Mentor engineers

Seniority

Senior Staff, hands-on IC with mentorship