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Partner Solutions Architect Databricks · Tokyo, Japan
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Databricks

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Partner Solutions Architect

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-09-07 Tokyo, Japan Hybrid ICT
💰 Salary Not shared 📊 Market ₹1,000,000–₹1,800,000/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 70% of the Fortune 500 - rely on the Databricks Data + AI Platform 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 platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

Responsibilities

  • ● Work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers.
  • ● Develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product.
  • ● Work with partners to help customers achieve tangible data-driven outcomes through the use of the Databricks Data + AI Platform, helping data teams complete projects and integrate the platform into their enterprise Ecosystem.
  • ● Exercise and develop expertise in open-source projects such as Apache Spark , MLflow, and Delta Lake, and major public cloud infrastructure and services.
  • ● Use expertise to become a trusted advisor to C&SI partners.
  • ● Report to the AVP, FDE.
  • ● Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark programming and integration with the wider cloud ecosystem.
  • ● Engage with the partner technical community by leading workshops, seminars, and meet-ups.
  • ● Be a Big Data Analytics expert on aspects of architecture and design and share this with the partner network.
  • ● Show expertise by producing creative technical solutions and blog posts.

Requirements

  • ● 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets.
  • ● Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science.
  • ● Experience demonstrating technical concepts, including presenting and whiteboarding.
  • ● Experience designing and implementing architectures within public clouds (AWS, Azure or GCP).
  • ● Coding experience in SQL / Python / Scala / Java.
  • ● Expertise in at least one of the following: Data Engineering technologies (Ex: Apache Spark , Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO).
  • ● Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
  • ● Full professional proficiency in Japanese is mandatory.
  • ● Business-level English proficiency is preferred.