Integration Architect and Engineer, Data & Analytics

Astellas Pharma - Markham, IL

Full-time

Markham, IL

10,001+ employees

Management of Companies and Enterprises

About the position

The Integration Architect and Engineer role at Astellas Canada focuses on driving innovation and efficiency in data-driven decision-making processes within the life sciences sector. This position is responsible for designing and implementing data and analytics solutions tailored to the unique requirements of research and development, while managing day-to-day operations of foundational platforms. The role requires collaboration with various stakeholders to ensure that data solutions align with business objectives and regulatory standards.

Responsibilities

• Interact with a diverse range of cross-functional stakeholders at all levels of the organisation.
• 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

• 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.
• 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.
• Possess subject matter expertise on creating a data mesh or federated data architecture.
• 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.
• In-depth understanding of life sciences R&D business processes.

Nice-to-haves

• 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
• Relevant certifications in data and analytics tools/platforms are advantageous.

Benefits

• Accommodations available for candidates with disabilities during the hiring process.
• Commitment to equality of opportunity in all aspects of employment.