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Specialist Solutions Architect - Data WarehousingDatabricks · Seoul, South Korea
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Databricks

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Specialist Solutions Architect - Data Warehousing

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🗓️ Posted 2026-09-10 Seoul, South Korea Hybrid ICT
💰 Salary Not shared 📊 Market ₹7,000,000–₹12,000,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

About the Role

As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. 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. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for 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 and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning.

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.

Requirements

  • ● 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.