Databricks
Specialist Solutions Architect- GCP Infrastructure
Rol remoto de Field Engineering - Other con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Specialist Solutions Architect- GCP Infrastructure
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
The impact you will have:
- Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment.
- Architect production-level deployments, including meeting necessary security and networking requirements.
- Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management.
- Assist Solution Architects with more advanced aspects of the technical sales process, including custom proof-of-concept content and custom architectures.
- Provide tutorials and training to improve community adoption (including hackathons and conference presentations).
- Contribute to the Databricks Community.
What we look for:
- 5+ years of experience in a technical role with deep expertise in GCP platform architecture, including cloud security, networking best practices, and designing data platforms on cloud infrastructure.
- Deep specialized expertise in at least one of the following core domains: Security & Identity: Platform, network, data, and GenAI/model security, encryption, vulnerability management, compliance, and identity management (Provisioning, SCIM, OAuth, SAML, Federation). Networking & Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments. Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management. Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.
- Security & Identity: Platform, network, data, and GenAI/model security, encryption, vulnerability management, compliance, and identity management (Provisioning, SCIM, OAuth, SAML, Federation).
- Networking & Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments.
- Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management.
- Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.
- 2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed architectures.
- Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
- 2+ years of experience in a pre-sales or post-sales technical role.
- Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.
- Willingness to travel up to 30% as needed.
Details
- Security & Identity: Platform, network, data, and GenAI/model security, encryption, vulnerability management, compliance, and identity management (Provisioning, SCIM, OAuth, SAML, Federation).
- Networking & Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments.
- Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management.
- Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.
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