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Specialist Solutions Architect - Data Warehousing

Databricks· Engineering
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Seoul, South Koreafull-timePosted 1mo ago

About the role

Specialist Solutions Architect (SSA) for Data Warehousing guides customers through cloud data warehousing transformations using Databricks. Works with Solution Architects in a customer-facing role, requiring hands-on production experience with large-scale data warehousing technologies and lakehouse architecture, contributing to evaluations, production planning, and technical leadership across BI workloads.

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 business intelligence 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
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
  • Native proficiency in Korean is a must, and business-level English is preferred
  • Nice to have: Databricks Certification

Skills

Required:Data warehousingSQLPythonCloud platforms

Benefits

  • Benefits details available via regional link (see job description)
Last updated Sep 10, 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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