Databricks Security Engineer
Northrop Grumman · United States-Remote ·
- Work mode
- Remote
- Employment
- Full time
- Category
- Security
- Experience
- 3+ years
- Salary
- USD 113,900 – 170,900 / year
Northrop Grumman · United States-Remote ·
Databricks · Bellevue, Washington
Databricks · Bellevue, Washington
Databricks · San Francisco, California
Databricks · Remote - California
Engineer secure access controls for a Databricks Lakehouse, managing Unity Catalog permissions, tagging, and audit trails using Terraform and cloud IAM.
Northrop Grumman is seeking a Data Security Engineer to support the implementation and ongoing operation of data access controls within our Databricks Lakehouse environment. This position will be part of a growing Databricks data security function and will work closely with the data engineers, workspace administrators, and platform engineers to help establish and maintain a secure, scalable, and auditable access model. This is a hands-on role well suited for an engineer with experience in data platforms, cloud security, or access administration.
This position can be performed as a virtual telecommuter, however, fulltime onsite work could be required at some point.
Key Responsibilities
Support implementation of the Databricks access control model.
Manage data structures, permissions, and tagging within Unity Catalog.
Maintain security controls for sensitive data, including filtered and masked access.
Keep access controls managed as code using Terraform and related tools.
Partner with admins and platform teams to keep access controls aligned across the environment.
Support audits, reporting, and documentation related to data access.
Provide day-to-day guidance to engineers on tagging and access requests.
Basic Qualifications
Bachelor’s degree with 5+ years of related experience, degree in software engineering, data engineering or a related technical field. 3 years with a Master's degree in a relevant discipline.
Familiarity with access control concepts, including RBAC and ABAC.
Experience with Databricks, Unity Catalog, and familiarity with Databricks system tables, audit logs, and access reporting.
Working knowledge of SQL and Python.
Experience with infrastructure-as-code and the use of Terraform.
Familiarity with cloud IAM concepts such as groups, roles, policies, and service principals in AWS.
Experience supporting data classification, data governance, or data tagging.
Strong attention to detail and the ability to work within established governance and approval processes
Preferred Qualifications
Experience supporting technical or operational aspects of compliance requirements such as SOC 2, HIPAA, or GDPR
Databricks · San Francisco, California