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TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. We're building the foundational data infrastructure powering next-generation analytics at scale. As part of our mission, we're architecting a modern data lakehouse to support complex workloads, real-time data pipelines, and secure data governance-at petabyte scale. We are looking for a Senior Data Engineer to help us design, implement, and scale core components of our lakehouse architecture. You will have ownership over data modeling, ingestion, query performance optimization, and metadata management using cutting-edge tools and frameworks like Apache Spark, Trino, Hudi, Iceberg, and Snowflake. 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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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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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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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