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As a Partner Solutions Architect you will 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. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

The impact you will have:

• 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
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 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 developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• 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
• Written and verbal level fluency in Japanese and English

Benefits

• Benefits allowance
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

FEQ227R42

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

仕事の内容

プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。

あなたがもたらす影響：

• あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。
• 見込み客をDatabricksの評価と採用へ導きます。
• リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。
• 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。
• ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。
• 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。
• 顧客のユースケースのディスカバリー
• 既存顧客のDatabricks環境の最適化
• Databricks製品改善のための活動

必要な条件/経験:

• 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験
• 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験
• パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験
• エンタープライズアカウントとの業務経験
•  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること
• データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。

望ましい経験/スキル:

• データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい
• Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験
• Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験
• データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験

Quantum Calibration Engineer, Quantum Computing Services  
                                                                                         

Summary:   

QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra’s neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra’s quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms. 

In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra’s global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization.  

This role is part of QuEra’s Quantum Computing Services team and is based at QuEra’s Boston headquarters. The team’s mission is to develop QuEra’s neutral-atom technology into cutting-edge quantum computing products and services. 

Core Responsibilities  

• Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights.
• Develop, refine, and maintain calibration pipelines consisting of complex data flows.
• Develop robust data-fitting and optimization routines.
• Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments. 

Qualifications  

Required  

• Strong proficiency in Python, including experience with data analysis and visualization libraries (e.g., NumPy, SciPy, Pandas, Matplotlib). 
• Hands-on experience working with real experimental or measurement data, including noise handling, curve fitting, and model validation. 
• Familiarity with optimization and regression techniques, both classical (e.g., least-squares, nonlinear fits) and statistical (e.g., Bayesian inference, parameter estimation). 
• Comfort working in a hardware-facing environment, integrating software with lab instruments, data acquisition systems, or experimental control frameworks. 
• Solid understanding of version control (Git) and structured software development practices (testing, modularity, documentation). 
• Strong problem-solving ability, scientific curiosity, and a willingness to learn new physical systems quickly.
• Eager to grow from a capable engineer into a domain expert in quantum device 
• Enjoys hands-on experimentation, iteration, and uncovering structure in data. 
• Comfortable working across abstraction layers, from analyzing raw voltage traces to designing experiment-level calibration strategies. 
• Collaborative and adaptable; able to operate in an interdisciplinary environment spanning science, software, and hardware teams.

Nice to have 

• Experience with machine learning or data-driven modeling (e.g., for pattern recognition, drift prediction, or parameter inference). 
• Exposure to experimental physics or optics in a lab environment.
• Theory and practice of control systems.
• Familiarity with Kubernetes, Docker, or distributed analysis systems for scaling calibration and data pipelines. 
• Knowledge of signal processing and time-series analysis for extracting trends or correlations in data.
• Proficiency in C or C++.

Education & Experience  

• Bachelor’s or Master’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related quantitative field. 
• Candidates with diverse or nontraditional backgrounds who demonstrate strong programming and analytical skills are encouraged to apply. 
•  Experience or exposure to experimental research, data-driven system optimization, or hardware-software integration (through research, internships, or personal projects) is a strong plu

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.