Remote Senior Lakehouse Platform Engineer

Upstart

United States

Remote

USD 167,000 - 231,000

Full time

11 days ago
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Benefits offered by this job

Competitive compensation
401(k) with company match
Employee stock purchase plan
Medical, dental, vision

Job summary

Upstart seeks a Senior Data Platform Engineer to own Lakehouse infrastructure and security across environments, including a regulated Upstart Bank setup. You’ll expand infrastructure as code, enforce no-click-ops, and implement robust access controls while collaborating with Data Engineering, ML, Analytics, Compliance, and Security to drive reliability and cost efficiency.

Ideal candidates will have hands-on Databricks/AWS experience, Terraform/CDK, CI/CD, and Kubernetes in a fast-paced,

Qualifications

  • Bachelor’s degree or equivalent practical experience in CS or related field.
  • 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering.
  • Hands-on experience with lakehouse platforms (Databricks, Spark, Delta Lake, Iceberg).
  • Hands-on experience with AWS services (IAM, S3, EC2, EKS) and IaC tools (Terraform or CDK), CI/CD, and Kubernetes.

Responsibilities

  • Own Lakehouse infrastructure across multiple environments, including regulated environments; implement infrastructure as code and security controls.
  • Collaborate with Data Engineering, ML, Analytics, Compliance, and Security to improve reliability and security of platform.
  • Identify cost-saving opportunities and optimize cloud/data platform usage (compute rightsizing, Graviton, spot instances, archival).

Skills

Python
DevOps
CI/CD
Cost optimization
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Databricks
Terraform
CDK
Kubernetes
Snowflake/Spark/Delta Lake

Job description

Upstart seeks a Senior Data Platform Engineer to own Lakehouse infrastructure and security across environments, including a regulated Upstart Bank setup. You’ll expand infrastructure as code, enforce no-click-ops, and implement robust access controls while collaborating with Data Engineering, ML, Analytics, Compliance, and Security to drive reliability and cost efficiency.

Ideal candidates will have hands-on Databricks/AWS experience, Terraform/CDK, CI/CD, and Kubernetes in a fast-paced,

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