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Databricks

Builds cloud software for data analysis and AI

Deputy Facility Security Officer

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • An active U.S. government security clearance at Secret level or higher, with Top Secret preferred, and eligibility for SCI.
  • At least 5 years of industrial or personnel security experience at a cleared contractor, government security office, or in the military, including hands-on NISPOM, DCSA, and DD254 experience.
  • Working experience with DISS-JVS, NISS, SWFT, and NBIS eApp.

Responsibilities

  • Help the Industrial Security Lead administer the Industrial Security program under 32 CFR Part 117 (NISPOM), including routine contact with DCSA and customer government program security officers.
  • Manage collateral clearances and SCI accesses.
  • Manage mandatory reporting across personnel security programs and keep the SPP audit ready.
  • Manage DD254s and sub-DD254 flowdowns in partnership with Legal, Field Engineering, and Sales.
  • Identify repeatable work across clearance tracking, onboarding and offboarding, training compliance, and contract security, and build automated and AI-assisted workflows to handle it.
  • Manage the security intake queue and its service-level agreements, and keep DISS, NISS, SWFT, and internal systems synchronized and audit ready.
  • Develop on-demand security awareness training and briefings.
  • Write standard operating procedures and playbooks, and report program metrics to Databricks Federal leadership.
  • Work cross-functionally with the Industrial Security Lead to plan, accredit, and operate the future SCIF.
  • Own the CJIS personnel security program under the FBI CJIS Security Policy and support customer security reviews.

Desired Qualifications

  • Experience with SCIF or ICD 705.
  • Familiarity with NIST SP 800-53, FedRAMP, or DoD IL5.
  • ISP, PMP, CISSP, or CISM certification.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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