GAQ125R25
As Head of Corporate Engineering, you will be responsible for Enterprise engineering and operations globally. You will be responsible for building and managing a highly technical enterprise engineering team, developing first principled-based strategies, and enabling strong enterprise security. Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R&D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration. Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential.
This role reports directly to the Vice President, Infrastructure and Operations
Responsibilities:
In this influential role, you will be responsible for:
- Securing the Enterprise: Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards
- Building and Scaling our Cloud Infrastructure: Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing & scaling the cloud infrastructure
- Engineering Tooling: Partner closely with R&D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineering tools like Github, Jira, Atlassian, and more
- Endpoint Engineering: Enable extreme automation for endpoint management with zero-touch deployment, observability (synthetic and real-time), provisioning/de-provisioning, and establishing standards / SLAs. Enforce security policies, configure & manage security settings and ensure compliance across all endpoints and mobile devices. Success is measured in terms of end-user satisfaction and % of manual touch.
- Collaboration Management: Ensure we provide world class tools to our employees to be extremely productive and collaborative. This would include but not be limited to managing and scaling internal workplace products like Gmail, Slack, Atlassian, Moveworks, Glean, and more. Success is measured by user satisfaction
- Identity & Access Management: Manage the IAM team from IAM implementation, access standards enforcement, SLA management, and compliance to various standards like FedRamp, IL5, PCI, and more. Included are both internal and external identity providers to be managed. Success is measured by compliance, Identity governance, and availability
Desired Success Outcomes
- A high-performing enterprise engineering team capable of handling complex technical projects with agility and high quality.
- Well defined cloud strategy ensuring the stability, scalability, and security of cloud infrastructure. Overhaul of current processes and workflows to address inefficiencies and increase team velocity.
- Robust endpoint security with Implementation of comprehensive security measures for all endpoints, including Mac, Windows, and mobile devices.
- Deliver high-quality employee experience with productivity tools (Gmail, Slack, Atlassian tools, Moveworks, GitHub) with a robust forward-looking roadmap.
- Efficient operational support for Tier 3 IT services with minimized production incidents. Implementation of robust incident and change management processes with mature operational practice
- Efficient and mature processes for system integrations related to Mergers and Acquisitions (M&As), ensuring timely smooth transitions during M&A integrations.
- Development and implementation of automation tools and frameworks, Identification of automation opportunities to reduce manual toil and improve accuracy.
Qualifications:
- 10 years of experience managing Cloud infrastructure at large enterprises. Extensive experience managing public cloud implementations in AWS. Experience with GCP and Azure will be a plus.
- In-depth understanding of Cloud native technologies to lead and guide the team. Must have hands-on experience in troubleshooting and debugging issues in production environments
- Working experience in managing DevOps/SRE practices OKRs (Objective and Key Results), Agile development, Infra-as-code, SRE (Site Reliability Engineering), DevOps measurement such as DORA KPIs,
- In-depth understanding of each collaboration tool's features, functionalities, and configurations (e.g., Gmail for email, Slack for messaging). Ability to identify and integrate and optimize the use of various tools for seamless collaboration (e.g., connecting Jira with GitHub for Dev metrics).
- Experience leading a team of senior professionals working asynchronously in a remote, distributed team. Strong communication skills, with clear verbal communication and written communication skills.
- Collaborative style: partners well with cross-functional teams to solve hard problems and to complete complex deliverables with quality and business outcomes.
- Provide mentorship and guidance to team members to ensure that their skills and knowledge are kept up-to-date
Pay Range Transparency
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.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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