Senior IAM Engineer
Databricks
GAQ425R81
Location: San Francisco, CA. Mountain View, CA. Atlanta, GA. Bellevue, WA. Seattle, WA. Boston, MA. Chicago, IL. Denver, CO. New York, NY. Plano, TX. Washington, DC. remote US.
At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.
The Corporate Engineering team builds/provides services and infrastructure that allow our Bricksters to be successful. To accomplish this, the team is dedicated to the mission of ensuring that the underlying infrastructure is running smoothly and that systems and tools are working as expected.
Databricks is hiring an experienced Senior Identity and Access Management Engineer to manage critical Identity and Access Management processes and build future capabilities. This role is part of the Corporate Engineering team and is essential to scaling and optimizing our Identity Infrastructure as we continue our hyper-growth.
The impact you will have:
- You will work with different teams to ensure that the IAM services we offer the business are built for efficiency and scale.
- You will work closely with IT and Security teams to ensure the secure implementation of identity lifecycle processes (provisioning, updates, de-provisioning).
- You will provide Tier 3 support for IT support and partner with IT support leads to understand the identity trends and implement solutions to improve them through process or automation.
- You will work with internal IT teams to support and implement advanced configurations for identity systems such as Okta, and Opal, implementing access controls for SaaS applications.
- You will develop solutions or applications necessary to facilitate identity automation securely across Databricks Identity infrastructure.
- You will help define Service level agreements and processes working with IT support to streamline access requests and improve transaction transparency.
- You will contribute to developing IAC (Infrastructure as Code) around IaaS systems.
- You will strive toward making our processes better to provide a smooth and automated user LCM experience.
What we are looking for:
- 5+ years of experience or related experience administering Okta including advanced configurations such as OIDC/Oauth, SCIM, cross-tenant federation, Okta Workflows, and APIs
- 5+ years of experience or related experience administering identity for systems including IAM configuration for Saas and/or a subset of PAM, LDAP, Cert-based, Radius, and network infra.
- 2+ years of experience programming in a language such as Python, or node.js is required.
- Familiar with IAM concepts of least privileged access, Federation, Assurance, Reconciliation, and evidence collection for Audits.
- Familiar with design patterns to implement RBAC vs ABAC vs PBAC
- Familiar with customer identity and access management.
- Familiarity with APIs with a track record of leveraging them to improve efficiency through automation or data quality.
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.
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.
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.
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.
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 Twitter, LinkedIn 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.