Senior Databricks Platform Engineer

Akaasa Technologies

Hartford, United States of America

5 days ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 139K

Job location

Hartford, United States of America

Tech stack

Amazon Web Services (AWS)

JIRA

Azure

Cloud Computing

Continuous Integration

Information Engineering

Python

SQL Databases

Data Lake

PySpark

Git Flow

Kubernetes

Data Pipelines

ServiceNow

Databricks

Job description

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.

Requirements

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