Senior Databricks Platform Engineer

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profile Job Location:

Hartford, CT - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Senior Databricks Platform Engineer (SME)
Location: Hybrid Hartford CT (Local preferred; relocation candidates considered)
Duration: 12 Months Contract-to-Hire
Interview: Virtual round

Note:

  • Local candidates will be given priority

Position Overview:

We are seeking a Senior Databricks Platform SME responsible for architecting administering and optimizing enterprise Databricks environments. This is a hands-on platform engineering role focused on governance performance security automation cost control and reliability of the Databricks platform.

Required Skills:

  • 7 years in Data Engineering / Platform Engineering
  • 4 years hands-on experience with Databricks administration & architecture
  • Strong expertise in:
    • Unity Catalog
    • Delta Lake / Delta Live Tables
    • Databricks Workflows
    • SQL Warehouses
  • Strong Linux/Unix administration skills
  • Proficiency in Python & PySpark
  • Strong Bash/Shell scripting experience
  • Cloud experience (AWS / Azure / GCP)
  • Experience with CI/CD and Git workflows
  • Experience with cost optimization (DBU usage compute efficiency)
  • Exposure to Jira and ServiceNow

Important Notes:

  • This is a true platform ownership role not just pipeline development
  • Candidate must be able to manage Databricks across governance performance security and cost
  • Strong preference for hands-on Databricks administrators with production-scale experience
  • This is a challenging and high-ownership requirement

Senior Databricks Platform Engineer (SME) Location: Hybrid Hartford CT (Local preferred; relocation candidates considered) Duration: 12 Months Contract-to-Hire Interview: Virtual round Note: Local candidates will be given priority Position Overview: We are seeking a Senior Databricks Plat...
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