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"description_excerpt": "ソリューションアーキテクト (プリセールス) Japan 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 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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"description_excerpt": "デリバリーソリューションアーキテクト Tokyo, Japan CSQ327R31 Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。 このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。 あなたがもたらす影響 : - ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。 - Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。 - 複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。 - お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。 - 社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。 - 主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。 - Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。 - 以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。 - 本番環境へ移行する主要なユースケース - 有効化／ユーザー成長計画 - 製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動） - 現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化） - エグゼクティブおよび運用ガバナンス - 利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。 必要な条件/経験: - データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。 - Python、SQL、またはScalaでのプログラミング経験。 - 顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。 - 分散データシステムに関連するソリューション・アーキテクチャの理解。 - 特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。 - アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。 - 顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。 - 自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。 - 目標（Quota、Goalsなど）に対する達成実績。 Databricksについて 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。 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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