Databricks

Sr. Staff Security Engineer

San Francisco, CA
USD 176k - 311k
API Spark
Description

RDQ224R256

Product Security Mission:

The Product Security Team's mission is to Left-shift SDLC (Security Development Lifecycle) processes for ALL code written in Databricks (for Customer Use or Supporting Customer internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services.

Role Description:

You will be a security architect on the product security team at Databricks, responsible for securing the non-ENG applications, products and integrations which drives the internal functions of Databricks and its customers. The role is extremely critical since you would be working closely across every non-ENG department, including but not limited to IT, Finance, Marketing, HR, etc to ensure that any software that is developed, deployed or integrated within Databricks is done so securely and we minimize any risk of getting compromised. 

This would include, but is not limited to, security design reviews, threat models, cloud architecture review, 3rd-party integration reviews, code reviews, exploit writing and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident. You will work closely with cross-functional teams within the organization to design, implement, and manage secure architectures that protect the company's data and provide compliance with industry standards and governance policies.

Key Responsibilities

  • Develop and maintain a security architecture strategy that aligns with the organization's risk management and governance policies.
  • Evaluate and recommend security technologies that fortify the company's data and application infrastructure.
  • Engage in security design and architecture reviews of large inter-department projects, ensuring compliance with the latest security practices and standards focusing on access control, authentication, encryption, secure data processing, etc.
  • Collaborate with IT and other non-ENG business leaders to develop a cohesive security posture that balances risk and business requirements.
  • Conduct system security and vulnerability analyses, risk assessments, and provide recommendations to mitigate risks.
  • Stay up-to-date with emerging threats and provide guidance to teams as required.
  • Coordinate with legal and regulatory experts to understand the implications of privacy laws, and ensure that the architecture complies with these requirements.
  • Mentor and provide guidance to other team members in security best practices.

What we look for:

  • Solid understanding of product security fundamentals with expertise on Threat Modeling, and a working knowledge of exploit writing.
  • Deep understanding of cloud security architecture, security protocols, cryptography, authentication, authorization, security vulnerabilities, and remediation techniques.
  • Experience securing common Business Systems (e.g. Salesforce/Workday/Netsuite) as well as their associated integrations (e.g. APIs or other external connections)
  • Demonstrates lead-by-influence by executing through other leaders
  • Professional security certification is a plus (e.g., OSCP, OSCE).
  • Experience with security frameworks (e.g., NIST, ISO) and regulations (e.g., GDPR, HIPAA).
  • Excellent communication skills, with the ability to explain complex security concepts to a variety of audiences.
  • Demonstrated problem-solving skills and the ability to work under pressure.
  • Typically 15+ years of experience or advanced degree +12 years of experience in the security domain.
  • BS or higher in Computer Science or Computer Engineering

 

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range
$176,300$311,900 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

 Databricks
Databricks
Analytics Artificial Intelligence Information Technology Machine Learning Software

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