FEQ425R183

As a Sr. Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This customer-facing role works with and supports the Solutions Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. We help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence 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 to continuously consolidate the skills in your area of speciality.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including Databricks deployment automation.
• Architect production-level workloads, including end-to-end pipeline load performance testing and optimization
• Provide technical expertise in cloud infrastructure and security relating to our Databricks Data Intelligence Platform
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community and act as a technical SME.

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking, including several of the following:
  • Designing, deploying, and maintaining cloud resources (networks, …)
  • Infrastructure security (e.g. managing network-level security, private endpoints, firewalls, etc)
  • Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc)
  • Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc)
• Familiarity with big data technologies such as Spark/Delta, Hadoop, and MPP.