Job Description

Appealing Point

• Lead data architecture for Japan commercial pharma ecosystem  Design scalable and compliant solutions using real-world datasets like IQVIA Japan, NHI pricing, DPC hospital, and Rx data to drive Japan-specific business outcomes.
• Work with cutting-edge data technologies and architectures  Leverage Informatica IDMC/IICS, Databricks, and modern data concepts like Data Vault and Lakehouse to build robust, future-ready data platforms.
• Operate in a global delivery model while ensuring Japan compliance  Collaborate across India–Japan teams while aligning with Japan’s strict data privacy and pharma regulatory standards, driving analytics and digital transformation.

Annual Salary : 12 million and above

Job Description

• Design and implement data architectures for Japan commercial pharma datasets.
• Build scalable data integration, transformation and governance pipelines using Informatica IDMC/IICS, Databricks, PySpark and SQL.
• Define and implement Data Vault / Lakehouse architectures ensuring flexibility, lineage and governance.
• Ensure all solutions adhere to Japan’s data privacy, compliance and regulatory frameworks.
• Apply strong knowledge of Japan-specific datasets (IQVIA Japan, Veeva CRM, NHI price revisions, DPC hospital data, wholesaler sales, claims, Rx, patient data).
• Translate Japan commercial KPIs and reporting requirements into scalable data engineering and analytics solutions.
• Partner with Japan business stakeholders for requirement validation and compliance alignment.
• Provide end-to-end architecture oversight across ingestion, integration, quality, governance and analytics layers.
• Guide teams on coding standards, best practices and optimization in Python, PySpark, SQL.
• Mentor engineers and analysts in cloud adoption, DevOps and automation.
• Collaborate with BA/PM/QA teams to ensure requirement-to-delivery traceability.
• Implement data quality, metadata management, lineage and reconciliation frameworks using IDMC/IICS and Informatica DQ.
• Drive Agile-based delivery excellence using JIRA, Confluence, CI/CD DevOps pipelines.
• Conduct architecture reviews, performance tuning and scalability assessments.

Job Qualification:

• 12+ years of IT experience with at least 5 years in data solution architecture.
• Expertise in Informatica IDMC/IICS (CDI, CDQ) and Databricks (Delta Lake, PySpark, SQL).
• Proven experience designing and implementing Data Vault / Lakehouse architectures.
• Strong programming in Python, PySpark, SQL for data transformation.
• Hands-on with Japan pharma commercial datasets (IQVIA, Veeva, NHI pricing, DPC hospital, wholesaler, claims, Rx).
• Solid experience with AWS/Azure/GCP cloud platforms and DevOps CI/CD pipelines.
• Deep understanding of data governance, catalog, lineage and compliance standards in Japan pharma.
• Excellent communication and stakeholder engagement skills, , with ability to collaborate across India–Japan delivery model.

Desirable Skills

• Exposure to machine learning pipelines on Databricks.
• Knowledge of data governance platforms, data productization, advanced analytics enablement and regulatory compliance in Japan pharma sector.
• Exposure to Agile delivery practices (JIRA, Confluence, CI/CD pipelines).

Japanese Language: Business level Japanese (JLPT N2) required and business level English required.

About Company

Company is a global provider of award-winning cloud software and data analytics to the Life Sciences industry. solutions are used to digitally transform the entire product commercialization process, driving sales growth, and improving healthcare outcomes for patients. Our focus is on delivering solutions that help customers complete the journey from Data-to-Insights-to-Action and get superior returns from their sales and marketing investments.

Job Tags

Similar Jobs