Working Environment and Location
GCC POLAND: This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office
Astellas’ Responsible Flexibility Guidelines Statement - At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.
Purpose and Scope
We are seeking an experienced R&D Data Architect to define and evolve the end-to-end data architecture, data product strategy, and interoperability patterns for one or more Astellas R&D data domains.
Working under the business direction of the Data Domain Owner, this role provides architectural leadership across the domain data product portfolio and translates R&D priorities into a coherent target-state architecture and delivery roadmap. The Domain Data Architect partners closely with Data Product Owners, Domain Data Modelers, Data Governance Specialists, Data Engineers, Platform Engineers, scientists, clinical stakeholders, and AI teams to ensure data products built on the Databricks Data Intelligence Platform are scalable, governed, reusable, interoperable, and AI-ready.
The role serves as the domain design authority across Astellas' Medallion Architecture It is accountable for conceptual domain architecture, product boundaries, canonical patterns, source-system integration, cross-domain interoperability, metadata and lineage requirements, and alignment with enterprise platform and governance standards.
Continue:Purpose & Scope
Define and maintain the target-state architecture and strategy for assigned R&D data domains, aligned with business priorities, enterprise architecture, the Databricks platform, and the Unified R&D Data Strategy.
Partner with the Data Domain Owner to translate domain outcomes, priorities, and investment decisions into an executable data product portfolio and architecture roadmap.
Define data product boundaries, responsibilities, dependencies, interfaces, authoritative-source patterns, and reuse opportunities across the domain.
Provide architectural direction to Data Product Owners as they execute the roadmap through product backlogs, releases, adoption, and lifecycle management.
Lead conceptual domain architecture and approve canonical, logical, semantic, and physical design approaches developed with Domain Data Modelers and Data Engineers.
Establish cross-domain interoperability patterns, shared-entity approaches, identity resolution, reference-data usage, integration standards, APIs, events, and data-contract expectations.
Define architectural requirements across raw ingestion, source standardization, canonical harmonization, governed data products, and analytics-, application-, and AI-ready assets.
Role and Responsibilities
Partner closely with Data Governance Specialists to embed ownership, stewardship, metadata, business glossary, data quality, lineage, classification, access, privacy, retention, and compliance requirements into architecture and product designs.
Guide source-system assessment and onboarding, including system-of-record decisions, source data dictionaries, lineage, data movement patterns, schema evolution, and transition from local or point-to-point solutions.
Serve as design authority for Data Modelers and Data Engineers, facilitating architecture reviews, resolving design issues, managing exceptions, and promoting reusable patterns and engineering standards.
Ensure Gold data products and Platinum consumption assets support analytics, semantic models, knowledge graphs, feature engineering, vector search, AI agents, and other priority AI capabilities without creating parallel data foundations.
Maintain architecture artifacts, decisions, standards, dependency maps, transition roadmaps, and technical debt; communicate risks and recommendations to domain, platform, governance, and R&DX leadership.
Participate in Agile planning, backlog refinement, design reviews, demonstrations, and quarterly roadmap planning to ensure delivery remains aligned with target architecture and measurable business value.
Coach domain delivery teams on data product architecture, product thinking, canonical modeling, data contracts, governance by design, and scalable Databricks implementation patterns.
Essential Qualifications
Bachelor's or master's degree in Computer Science, Information Systems, Data Architecture, Bioinformatics, Engineering, Life Sciences, or a related discipline.
Substantial years of experience in data architecture, solution architecture, enterprise data management, data engineering, or related roles, including leadership of complex data initiatives.
Demonstrated experience defining domain or enterprise data architectures, data product portfolios, canonical patterns, integration strategies, and transition roadmaps.
Strong understanding of modern cloud data platforms, lakehouse architecture, data products, data mesh principles, metadata, lineage, data quality, security, and governance.
Experience guiding conceptual, logical, canonical, semantic, dimensional, graph, and physical data modeling approaches.
Experience designing architectures that support analytics, machine learning, generative AI, semantic retrieval, knowledge graphs, and AI agents.
Strong facilitation, stakeholder management, executive communication, problem-solving, and decision-making skills in global, matrixed environments.
Experience working with Agile or product-oriented delivery teams and providing technical direction across multiple squads or products.
Preferred Qualifications
Experience supporting pharmaceutical, biotechnology, or life sciences R&D across Research, Clinical Development, Safety, Regulatory, CMC, or Portfolio domains.
Experience with the Databricks Data Intelligence Platform, Delta Lake, Unity Catalog, Genie or semantic capabilities, and Azure cloud services.
Knowledge of scientific and clinical ontologies, controlled terminology, FAIR principles, master and reference data, and relevant industry standards.
Experience operating in regulated, privacy-sensitive, validated, or GxP environments.
Architecture certification or demonstrated expertise in enterprise, cloud, data, or solution architecture frameworks.
Benefits
Careers | Astellas
Why Astellas
Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide.
Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.
Our Organizational Values and Behaviors
Values: Integrity, Innovation and Impact sit at the heart of what we do.
Behaviors: We come together as ‘One Astellas’, working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
Our Organisational Values and Behaviours
Integrity
Innovation
Impact
One Astellas
Accountability
Courage
Sense of Urgency
Outcome Focus
Skills and Capabilities
Organizational Focus
.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help.
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