Databricks
Specialist Solutions Architect- Cloud Infrastructure & Platform
Vaga remota de Field Engineering - Other com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Specialist Solutions Architect- Cloud Infrastructure & Platform
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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 sale, 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 expertise in at least one of the following:
- Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
- Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance.
- Networking: Architecture design, implementation, and performance
- Identify management: Provisioning, SCIM, OAuth, SAML, Federation
- Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
- Infrastructure Automation and InfraOps with IaC tools like Terraform
- Maintain and extend the Databricks environment to adapt to evolving complex needs.
- Deep Specialty Expertise in at least one of the following areas:
- Security - understanding how to secure data platforms and manage identities
- Complex deployments
- Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
- Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.
- 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
- 2 years of customer-facing experience in a pre-sales or post-sales role
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
- This role can be remote, with travel up to 30% when needed
Details
- Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
- Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance.
- Networking: Architecture design, implementation, and performance
- Identify management: Provisioning, SCIM, OAuth, SAML, Federation
- Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
- Infrastructure Automation and InfraOps with IaC tools like Terraform
- Security - understanding how to secure data platforms and manage identities
- Complex deployments
- Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
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