Axtria is a global provider of services and solutions in data analytics, business consulting and software technology for the Life Science and Pharmaceutical sector. We seamlessly leverage data to build insights for our clients and deliver scalable processes that are critical for commercial operations, analytics, and innovative AI technology success. We help our clients gain a competitive edge with the goal of improving patient outcomes and driving business growth. Our offerings and product suite deliver tailored solutions for the Life Sciences industry, enabling innovation across their commercial organizations. With customers in over 75 countries, and 3700+ employees, Axtria is a highly specialized global commercial solutions provider in the Life Sciences industry.
Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations.
Position Summary
Axtria is seeking an experienced Solution Architect with deep expertise in Japan's pharmaceutical commercial datasets and a strong background in cloud-based data engineering and governance solutions. The individual will be responsible for designing end-to-end, scalable, compliant architectures leveraging Informatica IDMC/IICS, Databricks, Data Vault architecture and modern data engineering frameworks. This role will act as a strategic technical advisor and hands-on architect, ensuring alignment with Japan-specific regulatory requirements and Client's commercial data modernization initiatives.
Job Responsibilities
- 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.
Work Experience
- 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).
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