【Job Description】 ■Technical Development (80%) ・Design and implement scalable, production-grade data platform infrastructure components using AWS, Databricks, and modern data stack architecture patterns. ・Lead the development of critical data pipeline components and ensure they meet performance, security, reliability, and segregation of duty requirements. ・Architect and implement complex data transformation workflows that handle large-scale data processing efficiently. ・Implement advanced monitoring and observability solutions for the entire Data Platform ・Develop and maintain infrastructure-as-Code to ensure reproducibility and standardization ■Research & Innovation (10%) ・Conduct research on emerging technologies and architectural patterns in the data engineering space that can serve in solving performance/maintainability/efficiency/cost related pain points. ・Evaluate and prototype new tools and frameworks that could enhance platform capabilities. ・Present technical proposals and PoCs to Data Platform Engineering leadership ・Author technical documentation and design proposals for Data platform improvements and smooth onboarding of the team as a whole ■Technical Leadership (10%) ・Provide technical mentorship to team members and review critical code contributions. ・Collaborate with junior stakeholders to align technical solutions with delivery requirements. ・Lead technical design discussions and architecture review sessions. ・Share knowledge through documentation, workshops, and technical presentations 【Required Skills and Experiences 】 ■Requirement (1): Technical and professional skills: ・Master’s degree in computer science, Data Engineering, or related technical field. ・10+ years of experience in data engineering and software development. ・Deep expertise in Cloud Platforms (AWS preferred) and data processing frameworks (Spark preferred). ・Expert-level knowledge of Python (preferred), Scala, or Java. ・Extensive experience with modern SQL Warehouse (Databricks preferred, Snowflake, Big Query), columnar format handling (Parquet / Delta format, ORC preferred), and modern data architecture (Lakehouse preferred). ・Experience with DBT (Data Build Tool) and Data modeling methodologies. ・Expert-level experience with Infrastructure as Code (IaC) practices and tools (Terraform and AWS CDK preferred) ・Strong background in distributed systems and high-performance computing ・Proven track record of leading complex technical initiatives ■Requirement (2): Behavioral skills ・Excellent communication skills with ability to explain complex technical concepts to various audiences. ・Strong problem-solving abilities and analytical thinking. ・Demonstrate leadership in technical decision-making. ・Self-motivated with ability to work autonomously. ・Proven ability to mentor and guide technical team members. ・Result-oriented with strong project management skills. ■Requirement (3): Language skills ・Business level English required. ・Japanese language skills (N2 level) 【待遇/ Condition】 【賃金】現年収、能力、経験に応じて当社規定により優遇 【勤務時間】 管理監督者に該当するとみなし、次のとおりにする。 始業・終業時刻：午前9時・午後5時を基本とし、労働者の決定に委ねる。 休憩：正午から午後1時までの１時間を基本とし、始業・終業時刻の途中に労働者の決定により取得するものとする。 【勤務地/ Work Location】 (Upon hiring)Shirokane, Minato-ku, Tokyo, Japan (Scope of Change) Location transfer should be subject to the Company’s direction. 【アクサ生命保険について】 アクサ生命はアクサのメンバーカンパニーとして 1994 年に設立されました。アクサが世界で培ってきた知識と経験を活かし、315 万人のお客さまから 571 万件のご契約をお引き受けしています。1934年の日本団体生命創業以来築いてきた全国 511 の商工会議所、民間企業、官公庁とのパートナーシップを通じて、死亡保障や医療・がん保障、年金、資産形成などの幅広い商品、企業福利の増進やライフマネジメント🄬（人生を経営する）に関するアドバイスをお届けしています。 アクサジャパン採用サイト：採用情報｜アクサ・ホールディングス・ジャパン キャリア：キャリア｜アクサの魅力｜採用情報｜アクサ・ホールディングス・ジャパン 福利厚生：福利厚生｜アクサの魅力｜採用情報｜アクサ・ホールディングス・ジャパン