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Specialist Solutions Architect (Data Warehousing)

Databricks· Engineering
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Tokyo, JapanUnknownPosted 1w ago

About the role

Specialist Solutions Architect responsible for guiding customers in cloud data warehousing transformations using Databricks, with hands-on production experience and the ability to mentor, design architectures, optimize workloads, and contribute to the Databricks Community.

Responsibilities

  • Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment
  • 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 (including hackathons and conference presentations)
  • Contribute to the Databricks Community

Qualifications

  • 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, query conversion, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW or other systems
  • 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, including data modeling, data governance needs, and integration with BI tools - 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 (Ex: SQL, Redshift, SAP, Synapse, Snowflake, OLAP & OLTP workloads)
  • 2 years 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
  • Fluent proficiency in Japanese is a must, and business-level English is preferred
  • Nice to have: Databricks Certification

Skills

Required:Data warehousingSQL
Nice to have:PythonJava

Benefits

  • Benefit details are region-specific and link provided; refer to benefits documentation via the provided link
Last updated Oct 15, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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