Senior Cloud Data Engineer: Databricks & Lakehouse Expert

BriScent Global LLC

United States

Hybrid

USD 180,000 - 240,000

Full time

12 days ago

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Job summary

BriScent Global LLC is seeking an experienced cloud/data engineer to lead Databricks deployments and operate data platforms. The role requires hands-on Databricks expertise, AWS or Azure experience, and strong collaboration with teams across the organization.

A technical Bachelor's degree and 10+ years in cloud, data engineering, platform engineering, or DevOps are required, along with Python/SQL scripting, IaC, CI/CD, networking, IAM, security, and data integration skills.

Qualifications

  • Bachelor's degree in a technical discipline or equivalent relevant professional experience.
  • 10+ years of relevant cloud, data engineering, platform engineering, or DevOps experience.
  • Hands-on experience with Databricks deployments and operations.
  • Experience working with AWS, Azure, or another major cloud platform.
  • Experience with Infrastructure as Code and CI/CD tools and practices.
  • Working knowledge of Python, SQL, and/or scripting languages.
  • Understanding of cloud networking, identity and access management, security, and data integration concepts.
  • Strong troubleshooting, communication, and collaborative problem‑solving skills.

Skills

Cloud platforms experience (AWS/Azure)
Data engineering
DevOps practices
Scripting (Python/SQL)
Infrastructure as Code
CI/CD
Networking & IAM & security basics
Troubleshooting & collaboration

Education

Bachelor's degree in a technical discipline or equivalent

Tools

Databricks deployments
Databricks automation tools
Delta Lake
Unity Catalog
Apache Spark

Job description

BriScent Global LLC is seeking an experienced cloud/data engineer to lead Databricks deployments and operate data platforms. The role requires hands-on Databricks expertise, AWS or Azure experience, and strong collaboration with teams across the organization.

A technical Bachelor's degree and 10+ years in cloud, data engineering, platform engineering, or DevOps are required, along with Python/SQL scripting, IaC, CI/CD, networking, IAM, security, and data integration skills.

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