At a Glance
- Tasks: Design innovative data solutions to revolutionise cancer therapy and autoimmune disease treatments.
- Company: Join Autolus, a pioneering biopharmaceutical company dedicated to life-changing therapies.
- Benefits: Enjoy competitive salary, bonuses, private medical insurance, and a flexible working environment.
- Other info: Diverse and inclusive workplace committed to equality and personal growth.
- Why this job: Make a real impact in biotech while collaborating with passionate professionals.
- Qualifications: 10+ years in data architecture and strong problem-solving skills required.
The predicted salary is between 51750 - 63250 £ per year.
Work with us. Our team is passionate in the pursuit of excellence and in pushing the boundaries of cancer therapy and autoimmune disease to deliver life-changing treatments to patients. Whilst working at Autolus, you will enjoy a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership, and teamwork.
About Autolus: Autolus is a biopharmaceutical company, advancing innovative therapies at both clinical and commercial stages of development, focused on next-generation, programmed T cell therapies for the treatment of cancer. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies, solid tumours, and autoimmune diseases.
Role Summary: The Data Solution Architect is responsible for designing end-to-end data solutions across Autolus' enterprise data capabilities, including data integration, data warehouse, master data management, data governance, and analytics. This role translates approved business requirements into detailed solution designs, ensuring solutions are scalable, reusable, secure, governed, and aligned with the overall enterprise data architecture before development begins.
Key Responsibilities:
- Design end-to-end data solutions across data integration, data warehouse, master data, governance, and analytics.
- Translate requirements defined by the Data Product Owner into detailed solution architecture and technical designs.
- Develop conceptual, logical, and physical data models to support operational, reporting, and analytical needs.
- Define data flows, integration patterns, system interactions, and dependencies across enterprise applications and data platforms.
- Determine how new data sources should be integrated, modeled, mastered, governed, and made available for reporting and analytics.
- Partner with Data Integration, Data Engineering, MDM, Data Governance, Analytics, and Application teams to ensure consistent implementation of solution designs.
- Establish and maintain architecture, data modeling, and solution design standards and patterns.
- Identify opportunities to reuse existing data, integrations, models, and platform capabilities and avoid duplicate solutions.
- Ensure data quality, security, privacy, lineage, governance, and regulatory requirements are incorporated into solution designs.
- Conduct architecture and design reviews before development and provide architectural guidance throughout implementation.
- Evaluate solution options based on scalability, maintainability, performance, cost, security, and business value.
- Maintain current-state and target-state data architecture and identify opportunities to simplify and modernize the data landscape.
- Provide architectural leadership for complex initiatives spanning multiple applications, data domains, and business functions.
Demonstrated skills and competencies:
- 10+ years of experience in data architecture, solution architecture, data engineering, or related enterprise data roles.
- Strong experience with enterprise data architecture, data warehousing, data integration, master data management, and data governance.
- Extensive experience developing conceptual, logical, and physical data models.
- Experience designing data solutions involving enterprise applications, SaaS platforms, external data providers, and cloud data platforms.
- Experience working with technical leads and engineering teams to translate architecture into implementable solutions.
- Experience within biotechnology, pharmaceutical, life sciences, or another regulated industry preferred.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related discipline; advanced degree preferred.
- Demonstrated ability to architect solutions across multiple data technologies rather than within a single platform or technology.
- Experience working in complex, cross-functional enterprise environments.
- Experience with cloud-based data and integration architectures.
- Experience with regulated/GxP environments preferred.
Skills/Specialist knowledge:
- Strong knowledge of enterprise data architecture and solution architecture principles.
- Advanced data modeling skills, including conceptual, logical, dimensional, and physical modeling.
- Strong understanding of data warehouse and modern cloud data platform architectures.
- Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration.
- Understanding of master data management, data governance, metadata, lineage, and data quality.
- Understanding of security, privacy, compliance, and data integrity requirements.
- Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions.
- Strong analytical and problem-solving capabilities with the ability to see dependencies across systems and data domains.
- Ability to communicate complex architecture concepts clearly to technical and non-technical stakeholders.
- Strong collaboration and influencing skills with the ability to drive architectural decisions across teams without direct authority.
Autolus is committed to providing an inclusive and fair workplace for all. We are an equal opportunity employer and do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic.
Data Solution Architect in London employer: Autolus Therapeutics
At Autolus, we pride ourselves on being an exceptional employer that fosters a flexible, diverse, and dynamic work environment where creativity and teamwork thrive. Our commitment to employee growth is evident through our focus on leadership development and collaboration across functions, ensuring that every team member has the opportunity to make a meaningful impact in the lives of patients battling cancer and autoimmune diseases. Join us in our mission to deliver life-changing treatments while enjoying a culture that values respect, integrity, and breakthrough innovation.
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We think this is how you could land Data Solution Architect in London
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We think you need these skills to ace Data Solution Architect in London
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
