Data Integration Architect and Engineer

4 weeks ago

Markham, Ontario, Canada Astellas Pharma Inc. Full time
About Astellas Pharma Inc.

Astellas Pharma Inc. is a global pharmaceutical company headquartered in Japan, with a team of over 14,000 managing operations in approximately 70 countries around the world. We are in the Top 30 global biopharma company based on global revenues and are predicted to be one of the Top 10 Cancer Drug Makers of 2024 by Fierce Pharma.

Job Description

We are seeking a highly skilled Data Integration Architect and Engineer to join our team. As a key member of our Data and Analytics team, you will be responsible for designing and implementing solutions to data and analytics use cases tailored to the unique requirements of life sciences research and development.

You will work closely with research scientists, clinicians, regulatory experts, and DigitalX professionals to establish and maintain robust data and analytics solutions that align with business objectives, regulatory standards, and industry best practices. Your expertise in platform and solution management will ensure that state-of-the-art, yet fit-for-purpose, toolsets are appropriately utilized throughout the enterprise.

Key Responsibilities
  • Interact with a diverse range of cross-functional stakeholders at all levels of the organization.
  • Define projects that build, deliver, and manage solutions to meet business requirements.
  • Provide global ownership regarding integration tool sets, workflows, and data.
  • Define the appropriate governance structures and access models for analytics application support.
  • Provide expert support, direction, and guidance to BAU team to investigate data issues and define resolution of data issues.
  • Promote single source of the truth for key data elements.
  • Manage and develop technical solutions to ensure design integrity and flexibility.
  • Promote standards and policies for data management to include: data profiling, data management reporting, master data management.
  • Investigate opportunities for Data & Analytics optimizations/innovations and co-ordinate with Astellas stakeholders and user community.
  • Support Astellas project teams and Business leads to get the best results from their data.
Requirements
  • Proficiency in designing solutions per business customer use cases utilizing Analytics toolsets including R/Python platforms, high-performance computing, dense data storage, and ETL data capabilities.
  • Ability to coordinate with multiple teams (infrastructure, cloud environment, application platforms, datalake, etc.) and integrate capabilities to create a unique product or platform that fulfills a business use case.
  • Experience with Agile methodology and mindset.
  • Demonstrated ability to work closely with business and IS stakeholders to ensure efficient and optimal utilization of Data & Analytics environments, initially in the context of clinical study insourcing and the support of enhanced foundational capabilities.
  • Possess subject matter expertise on creating a data mesh or federated data architecture that can tap into data among disparate data warehouses, real-world data, and file-based data (structured and unstructured).
  • Strong command of data warehousing concepts, tools like Talend, Azure Synapse, ADLS, Master Data Management (MDM) tools.
  • Experience with BI and analytics platforms including QlikSense and Tableau.
  • Proven ability to design end-to-end architectures aligned with business needs, ensuring support for scalable analytics.
  • In-depth understanding of life sciences R&D business processes, adept at translating business requirements into effective technical solutions.
  • Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
  • Project management capabilities, ensuring adherence to timelines for successful solution delivery.
  • Demonstrated leadership skills, including guiding technical teams, offering mentorship, and influencing architectural decisions.
  • Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field.
  • Relevant certifications in data and analytics tools/platforms are advantageous.
Education and Experience
  • Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
  • 7+ years of relevant experience in data and analytics applications roles.
Preferred Qualifications
  • Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.
  • 5+ years' experience in Life Sciences industry
  • Advanced Analytics experience
Accommodations and Vaccination Policy

Astellas Pharma Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the hiring process. Astellas Pharma Canada requires full Vaccination against COVID-19 as a condition of employment. Reasonable accommodation to this policy may be granted for a valid accommodation request under human rights legislation.

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