Specialist Solutions Architect - Cloud Infrastructure & Platform
Role details
Job location
Tech stack
Job description
As a Specialist Solutions Architect, you will provide technical leadership and guidance to customers on the Databricks platform, ensuring secure and efficient cloud infrastructure. Responsibilities include designing deployments, assisting with technical sales, and mentoring team members., As a Specialist Solutions Architect (SSA) - Cloud Infrastructure & Platform, you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP. SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more. 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, * 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.
Requirements
- 5+ years of experience in a technical role with expertise in at least one of the following, 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
Benefits & conditions
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. Local Pay Range $180,000-$247,500 USD, 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 click here.
