At Databricks, we are passionate about enabling
data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the
development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so
our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at
every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services
and infrastructure across millions of virtual machines. And we're only getting started.
At
Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup
strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates
a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.
In this role, you
won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that
keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our
infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated,
air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the
complexity of global-scale networking, IAM, and automation, this is your team.
The Impact You’ll
Have
IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and
standardized access patterns at scale.
policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.
automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.
codify fixes into infrastructure and tooling.
ensuring timely, accurate data for detection, investigations, and audits.
teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving
standards.
specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching
cadences, and supporting secure access workflows (e.g., SAW).
security and access infrastructure across these environments.
security data pipelines.
incidents to restore service and harden systems for the future.
clearance (either active or currently held in an editable/re-activatable status within the 2-year window).
highly desired and considered a significant plus.
Science, Engineering, or a related technical field, or equivalent practical experience.
driving cross-team infrastructure improvement.
networking, accounts/subscriptions/projects, and audit logging.
and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements
into concrete technical controls.
evidence for cloud environments.
success running high-availability, security-critical services, including on-call responsibilities and incident
management.
ambiguous issues spanning multiple teams and platforms.
with Okta, Opal, or similar identity/access tooling.
(SAW) or comparable hardened access patterns.
or large-scale reorganizations.
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and
represents the expected 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 anticipates utilizing 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.
Local Pay Range
About
Databricks
Databricks is the Data and AI company. More than 20,000
organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 —
rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San
Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks,
Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
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.
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