Databricks Security Engineer
Please mention DailyRemote when applying
AI Summary
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.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
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
