【Alexion Japan】Senior Manger, Data Engineer

This is what you will do:

Senior IC role (Tokyo-based): Provide hands-on technical to design, build, and operate scalable data solutions on AWS + Snowflake, aligned to the Global standard Snowflake framework.

Commercial data enablement: Deliver trusted, governed, analytics-ready datasets and data products using CRM and multiple platform data to support reporting, insights, and decision-making.

Engineering + data science contribution (as needed): In addition to strong data engineering delivery, contribute to advanced analytics/data science work as required (e.g., exploration analysis, feature engineering, lightweight modelling prototypes) and build model-ready data foundations that enable future DS expansion.

Global collaboration: Work closely with the Global Data team and coordinate delivery with a development team based in India, communicating clearly in both Japanese and English.

You will be responsible for:

Data pipelines & operations: Design, build, and run reliable, scalable, and cost-efficient data pipelines and datasets on Snowflake, meeting agreed SLAs and operational standards.

Global Snowflake framework adoption: Implement and champion the Global standard Snowflake framework (standard layers, modelling approach, coding standards, testing, documentation, and promotion/release processes) and contribute improvements/reusable patterns back to the global community.

CRM source integration: Ingest, harmonize, and model data from CRM and multiple platforms, including schema evolution handling, reconciliations, and consistent business definitions for downstream analytics.

Data modelling & curation: Develop curated layers, data marts, and reusable data products with strong documentation, metadata, and lineage to enable self-service consumption and consistent reporting.

Data quality & observability: Implement automated data validations, monitoring/alerting, and operational runbooks; perform root-cause analysis and drive sustainable fixes for incidents and data quality issues.

Security, privacy & compliance-by-design: Apply least-privilege access (AWS IAM and Snowflake RBAC), encryption, secrets management, auditing, retention, and privacy controls (e.g., masking/row-level protections where applicable) in a regulated environment.

Data science contribution (as needed): Support analytical problem framing, perform exploratory analysis and statistical evaluation, and develop/validate lightweight predictive models or prototypes as required, ensuring reproducibility and appropriate governance.

ML/advanced analytics enablement: Create model-ready datasets and feature-oriented data products to support experimentation and scalable reuse, in collaboration with analytics/data science stakeholders.

Cross-functional & global delivery: Translate business needs into technical requirements, communicate trade-offs clearly, and provide technical oversight (design/code reviews) for work delivered with the India-based development team.

You will need to have:

Experience level: Typically, 8–12+ years of relevant experience in data engineering / analytics engineering, with end-to-end ownership of production data solutions (final requirement to be confirmed per internal levelling).

AWS expertise: Strong hands-on experience with AWS data/pipeline services (commonly S3, Glue, Lambda, Step Functions, IAM, CloudWatch, and related services as needed).

Snowflake expertise: Proven experience delivering solutions in Snowflake, including secure design, performance tuning, and cost optimization.

Advanced SQL + Python: Expert SQL and strong Python skills for data engineering and analytics (automation, testing, maintainability).

Framework-led delivery: Demonstrated ability to deliver within a standardized enterprise data framework (or evidence of driving standards adoption across teams).

CRM data experience: Experience integrating and modelling Salesforce.com and/or Veeva CRM data, including handling frequent configuration/schema changes.

Data science fundamentals: Working knowledge of statistics, exploration analysis, and ML concepts, with ability to contribute hands-on to analytical deliverables as needed.

Bilingual requirement: Business-level Japanese and English are required, including the ability to lead technical discussions and write clear documentation for global stakeholders.

We would prefer for you to have:

Life sciences / regulated industry experience: Familiarity with audit readiness, privacy-by-design, and governance expectations for sensitive data.

Advanced analytics delivery: Experience supporting feature engineering pipelines, model evaluation/validation practices, and operationalizing analytical workflows (where applicable).

GenAI/NLP interest: Exposure to GenAI, NLP, or modern AI techniques, with awareness of responsible AI and governance considerations.

Data visualization: Practical experience communicating insights via Power BI (and/or Tableau) and Python visualization libraries.

Education: Master’s degree or higher in data science, statistics, informatics, computer science, or a related field (or equivalent practical experience).

Date Posted

24-2月-2026

Closing Date

Alexion 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 accommodations@Alexion.com . Alexion participates in E-Verify.