Senior Platform Engineer — Cloud & Databricks Leader

Cardinal Health

Denver (CO)

On-site

USD 123,000 - 176,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Paid time off
HSA
401k plan
MyFlexPay access
FSAs
Disability coverage
Work-Life resources
Parental leave
Wellness programs

Job summary

Cardinal Health is seeking a seasoned platform architect to lead design, development, and enhancement of core software & information platforms. You will mentor engineers, translate complex business requirements into robust platform designs, and drive long-term stability across cloud architectures.

Ideal candidates bring 8–12 years’ experience, a Bachelor’s degree or equivalent, and strong hands-on GCP experience with Compute Engine, IAM, and APIs, plus Databricks platform familiarity.

Qualifications

  • 8-12 years of experience, preferred.
  • Bachelor's degree in related field, or equivalent work experience, preferred.
  • 5+ years of hands-on GCP experience in products like Compute Engine, IAM and APIs.
  • Experience maintaining Databricks platform.

Responsibilities

  • Lead the design, development, and enhancement of core software & information platforms.
  • Provide platform metrics & proactively identify patterns to improve platform stability.
  • Ability to break down complex initiatives into small actionable work items.
  • Troubleshoot complex platform and cloud issues, perform root‑cause analysis, and drive long‑term stability and performance improvements.

Skills

GCP experience
Compute Engine
IAM
APIs
Databricks

Education

Bachelor's degree

Tools

Databricks

Job description

Cardinal Health is seeking a seasoned platform architect to lead design, development, and enhancement of core software & information platforms. You will mentor engineers, translate complex business requirements into robust platform designs, and drive long-term stability across cloud architectures.

Ideal candidates bring 8–12 years’ experience, a Bachelor’s degree or equivalent, and strong hands-on GCP experience with Compute Engine, IAM, and APIs, plus Databricks platform familiarity.

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