{"id":3798105,"url":"https://alion.io/job/astrazeneca-alexion-japansnowflake-data-platform","title":"【Alexion Japan】Snowflake Data Platform","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":171,"ghost_share":0.006,"stale_share":0.374,"repost_share":0.099,"time_to_fill_p50_days":19,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Master Data Management","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-11-05T10:18:25Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T03:33:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview\nThe Principal Data Architect - APJ Snowflake Data Platform will provide technical architecture leadership for the design, evolution, and governance of the APJ enterprise data platform.\nThis role will define the target architecture and technical standards for a scalable, secure, and governed data ecosystem centered on Snowflake, supporting enterprise data engineering, business intelligence, advanced analytics, and AI use cases across APJ.\nThe Principal Data Architect will work closely with Data Engineers, BI and Analytics teams, business stakeholders, and global technology teams to translate business and data requirements into sustainable enterprise architecture.\nThis is not only an advisory architecture role. The successful candidate is expected to have deep hands-on Snowflake expertise and be able to review technical designs, challenge engineering decisions, troubleshoot complex issues, and provide practical architectural guidance.\nKey Responsibilities\n1. Snowflake Platform Architecture\nDefine and evolve the target architecture for the APJ Snowflake data platform.\nDesign scalable architecture patterns for enterprise data ingestion, transformation, storage, consumption, and analytics.\nEstablish architectural principles for database, schema, warehouse, and data-layer design.\nDefine architecture supporting BI, Advanced Analytics, Data Science, and AI workloads.\nEnsure architecture decisions balance scalability, performance, security, maintainability, and cost.\n2. Enterprise Data Architecture\nDefine common architectural patterns for integrating major enterprise data domains.\nEstablish data-layer and data-modeling principles across source, transformation, and consumption layers.\nDefine reusable architectural patterns that can be adopted across APJ markets.\nGuide the design of trusted and reusable enterprise data products.\nEnsure local market requirements can be accommodated without unnecessary architectural fragmentation.\n3. Snowflake Security & Access Architecture\nDefine Snowflake security and access-control architecture.\nEstablish principles for role-based access control and appropriate separation of responsibilities.\nPartner with Security and Identity teams on enterprise access requirements.\nProvide architecture guidance for secure handling of sensitive commercial and customer data.\nSnowflake role design and security-related approvals are already among the architecture topics documented internally.\n4. Data Integration & Transformation Architecture\nDefine architectural standards for data ingestion and transformation using Fivetran and dbt.\nEstablish patterns for source-to-Snowflake integration.\nDefine scalable approaches for ELT and transformation architecture.\nGuide engineering teams on reusable dbt models and data-layer design.\nReview pipeline and transformation designs for architectural consistency.\n5. Architecture Governance & Design Authority\nServe as a technical design authority for major APJ data platform initiatives.\nLead architecture and solution design reviews.\nReview technical proposals and identify architecture risks, dependencies, and technical debt.\nDefine and maintain architecture standards, principles, and reusable patterns.\nEnsure new data solutions align with the APJ target architecture.\nPartner with engineering teams to move from architecture design to practical implementation.\n6. Platform Resilience & Operational Architecture\nDefine architectural principles for platform resilience, data protection, and recoverability.\nPartner with relevant technology teams on business continuity and disaster recovery requirements.\nIdentify architectural risks and recommend improvements to platform resilience.\nDisaster Recovery for Snowflake has also been an active internal architecture topic.\n7. AI-Ready Data Architecture\nDefine a data architecture capable of supporting AI/ML and Generative AI workloads.\nEstablish architectural patterns for governed consumption of enterprise data by AI applications.\nWork with Data Science and AI teams to ensure the underlying data platform supports emerging AI requirements.\nEvaluate how Snowflake capabilities can be incorporated into the broader APJ data and AI architecture.\nInternal discussions also reference the use of Snowflake for AI-related development and scaling data capabilities.\nRequired Qualifications\nSnowflake Expertise\nDeep hands-on experience with Snowflake is mandatory, including:\nEnterprise Snowflake architecture and solution design\nData warehouse and analytical data architecture\nSnowflake security and access architecture\nAdvanced SQL\nData modeling\nPerformance and scalability considerations\nProduction troubleshooting\nData integration architecture\nData Engineering & Architecture\nStrong knowledge and practical experience in:\ndbt\nFivetran\nModern ELT/ETL architecture\nEnterprise Data Warehousing\nData Modeling\nData Integration\nData Quality\nData Governance\nGit-based development and CI/CD concepts\nCloud data architecture\nThe candidate should be technically strong enough to challenge and guide Principal/Senior Data Engineers, rather than functioning only as a high-level solution architect.\nLanguage Requirements\nJapanese\nBusiness-level proficiency required\nThe candidate must be able to independently:\nConduct architecture discussions with Japanese stakeholders.\nTranslate business requirements into technical architecture.\nExplain complex technical decisions to both technical and non-technical audiences.\nEnglish\nBusiness-level proficiency required\nThe candidate must be able to collaborate effectively with APJ and global technology, architecture, security, and data teams.\nPreferred Qualifications\nPharmaceutical or Life Sciences industry experience\nExperience architecting large-scale enterprise Snowflake platforms\nExperience with pharmaceutical commercial and customer data\nExperience with Master Data Management\nData Governance and Data Quality framework experience\nExperience designing platforms supporting Power BI\nExperience supporting AI/ML or Generative AI solutions\nExperience working across multiple APJ markets\nExperience establishing architecture standards and conducting technical design reviews\nWhat We Expect from a Principal Data Architect\nThis role goes beyond producing architecture diagrams.\nThe successful candidate will:\nOwn the technical direction of the APJ Snowflake data platform\nEstablish architecture standards and reusable patterns\nAct as a technical authority for Snowflake architecture\nChallenge and approve critical technical design decisions\nIdentify architectural risks and technical debt\nGuide Data Engineers through complex implementation decisions\nBridge Global architecture standards and APJ/Japan requirements\nRemain sufficiently hands-on to investigate and resolve complex platform issues\nDate Posted\n05-11月-2026Closing Date\n30-1月-2027Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation,age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy,(including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact . 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