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...
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
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