Design, implement, and manage AWS solutions for customers, acting as a trusted advisor throughout the cloud journey.
Locations (7)
Arlington, Virginia, United States
Seattle, Washington, United States
Denver, Colorado, United States
Herndon, Virginia, United States
San Francisco, California, United States
Dallas, Texas, United States
Hayward, California, United States
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Responsibilities
Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
Providing technical guidance and troubleshooting support throughout project delivery
Collaborating with stakeholders to gather requirements and propose effective migration strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
Build and operate Databricks and Unity Catalog platform infrastructure for the Commercial Data & AI team.
Responsibilities
Build, configure, and operate Databricks and Unity Catalog platform components supporting the team's data products
Manage cloud engineering tasks for the platform, including provisioning, cost management, and performance tuning of the underlying cloud infrastructure
Coordinate with Enterprise IT on systems integration and feature enablement, supporting rollout of new platform capabilities to the team
Partner with Enterprise IT and the team's data architects on platform architecture standards, ensuring configuration stays aligned with enterprise-wide direction
Support platform reliability and security by implementing access controls, monitoring, and configuration management for the Databricks environment
Build and operate Databricks and Unity Catalog platform infrastructure for the Commercial Data & AI team.
Responsibilities
Build, configure, and operate Databricks and Unity Catalog platform components supporting the team's data products, including workspace, cluster, and access configuration.
Manage cloud engineering tasks for the platform, including provisioning, cost management, and performance tuning of the underlying cloud infrastructure.
Coordinate with Enterprise IT on systems integration and feature enablement, supporting rollout of new platform capabilities to the team.
Partner with Enterprise IT and the team's data architects on platform architecture standards, ensuring configuration stays aligned with enterprise-wide direction.
Support platform reliability and security by implementing access controls, monitoring, and configuration management for the Databricks environment.
Requirements
Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
Nice to have: experience coordinating with a central Enterprise IT or platform team on integration and architecture standards
Nice to have: experience working in a regulated or pharma commercial data environment
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