Specialist Solutions Architect (Data Warehousing)

As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks.

You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization
• Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production
• Provide tutorials and training to improve community adoption
• Contribute to the Databricks Community

What we look for:

• 5+ years experience in a technical role with expertise in data warehousing
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, MPP, and OLAP
• Deep Specialty Expertise in at least one of the following areas: Experience scaling large analytical data warehouse workloads in the cloud that are performant and cost-effective; Maintained, extended, or migrated a production data warehouse system to evolve with complex needs; Experience migrating on-premise EDW workloads to the public cloud
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, or Java for developing UDFs
• Experience with the AWS, Azure, or GCP clouds
• 2 years professional experience with data warehousing and big data technologies
• 2 years customer-facing experience in a pre-sales or post-sales role
• Fluent proficiency in Japanese is a must, and business-level English is preferred