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Senior Principal - Databricks Platform Engineering Lead (Python)

JPM*** · Jersey City, NJ, United States
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Jersey City, NJ, United States232,750-325,000 USD/yearlyRemote
Remuneration
232,750-325,000 USD/yearly
Location
Jersey City, NJ, United States
Visa sponsorship
Sponsors visa

Job summary

JOB DESCRIPTION Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Databricks platform architecture on AWS, build Terraform/Python automation, mentor teams, and drive high-impact data innovation. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey.

Benefits

And programs to meet employee needs, based on eligibility.Additional details about total compensation andWill be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bringWe are an equal opportunity employer and place a high value on diversity and incVisit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co.Is an Equal Opportunity Employer, including Disability/VeteransABOUT THE TEAMOur professionals in our Corporate Functions cover a diverse range of areas from

Qualifications

  • capabilities, and

Responsibilities

  • Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Databricks platform architecture on AWS, build Terraform/Python automation, mentor teams, and drive high-impact data innovation.
  • The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey.
  • The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning
  • Leads the design, build, and troubleshooting of a scalable Databricks/Spark data platform and analytics workloads across cloud environments.
  • Develops and maintains secure, production-grade Python code; perform code reviews, debugging, and engineering quality improvements across the team.
  • Owns delivery of scalable data pipelines and analytics solutions on Databricks, applying strong distributed computing and performance troubleshooting practices.
  • Develops secure, high-quality production code across Terraform modules, Python Lambda functions, and control plane services while reviewing and debugging code across the team.
  • Leads the architecture of scalable Databricks platform infrastructure, including workspace automation, AWS networking, and control plane APIs enabling self-service for downstream teams.
  • Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake

Degrees

Associate

Industry

AutomotiveBankingHealthcareManufacturingMediaPublic-sector

Company size

EnterpriseSmb

Contract length

00 years