Cloud Data Engineer

BriScent Global LLC; United States; Hybrid; USD 180,000 - 240,000; Full time

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

A few times a year there are on-site meetings that they will need to attend, so they’d like someone local. The JD and details are below. If we have any Databricks folks, please let me know. Candidates need to be clearable, they will eventually get a Secret, but it’s not needed or this role.

Required 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.

Preferred Qualifications

• Databricks or relevant cloud certification.
• Experience with Unity Catalog, Delta Lake, Apache Spark, and Databricks automation tools.
• Experience with enterprise data pipelines, data governance, or modern lakehouse architectures.
• Familiarity with federal cybersecurity requirements, including NIST, FedRAMP, or RMF.
• Experience supporting federal government technology environments.