Databricks
Specialist Solutions Architect- Cloud Infrastructure & Platform
Remote Field Engineering - Other role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalLead
Work settingRemote
Accepted candidate locations
USA
Role overview
Specialist Solutions Architect- Cloud Infrastructure & Platform
Requirements and responsibilities
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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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