Senior Data Platform Engineer

Upstart

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$166,900–$230,900 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Dec 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $199k
$119k most similar roles pay here $243k

This role pays more than 62% of similar roles. Most pay $151,000–$215,125 — the shaded band above. At the midpoint, this role pays about $199k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 53 open roles on FindRole.

Listed pay typically runs $166,900–$230,900 across 52 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Senior Data Platform Engineer

As a Senior Data Platform Engineer on the Data Production Experience team, you will manage and scale the company’s Lakehouse infrastructure to support machine learning, analytics, and software engineering functions. You will be responsible for owning Databricks platform security across multiple environments, implementing infrastructure as code, ensuring compliance with audits like SOX and SOC, and optimizing costs through AWS resource management. Your daily work involves building robust data pipelines, automating evidence gathering, and improving developer efficiency by collaborating with cross-functional teams. The role requires proficiency in Python, SQL, Terraform or CDK, Kubernetes, and CI/CD tools. You will work with technologies including Databricks, Spark, Delta Lake, and AWS services like S3 and EC2 to solve complex problems related to lending, fraud, and pricing models within a high-scale data environment.

What you'll do

  • Manage and scale Databricks Lakehouse infrastructure across multiple environments using Infrastructure as Code.
  • Implement security controls including least-privilege access, attribute-based controls, and environment isolation.
  • Automate evidence gathering and close control gaps for OCC, SOX, and SOC audits.
  • Optimize cloud costs through waste detection, compute rightsizing, and migration to efficient instances.
  • Evaluate and integrate new technologies and open-source alternatives to expand platform capabilities.
  • Improve developer efficiency and infrastructure reliability by collaborating with cross-functional engineering teams.
  • Mentor junior engineers and advocate for high-quality coding and engineering best practices.
  • Manage the full lifecycle of infrastructure components from technical design through production support.

What we're looking for

  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering.
  • Hands-on experience operating a lakehouse or big data platform such as Databricks, Snowflake, Apache Spark, Delta Lake, or Apache Iceberg.
  • Hands-on experience with AWS (IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes.
  • Experience implementing security and compliance controls in audited environments (preferred).
  • Experience reducing cloud or data platform costs through usage analysis and infrastructure optimization (preferred).
  • Proficiency in DevOps engineering including automation, alerting, monitoring, and declarative infrastructure (preferred).
  • Familiarity with distributed systems, data architecture design, and big data technologies (preferred).

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