Data Solution Architect

Our team are 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. Using a broad suite of proprietary and modular T cell programming technologies, the company is engineering precisely targeted, controlled, and highly active T cell therapies designed to better recognize cancer cells, break down their defence mechanisms, and eliminate these cells. Autolus has a pipeline of product candidates in development for the treatment of haematological malignancies, solid tumours, and autoimmune diseases.

Why Autolus

In addition to a competitive salary, performance related bonus, private medical insurance, life assurance, and pension, Autolus is proud to offer a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork.

Our Promise

Autolus is developing complex, breakthrough therapies for a globally diverse market and equally recognises that diversity amongst our people is critical to our mission. As we draw on our differences, what we’ve experienced, and how we work, we celebrate diversity and are committed to creating an inclusive environment for all employees.

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. Working closely with the Data Product Owner and technical leads, this role translates approved business requirements into detailed solution designs, including data architecture, data models, data flows, integration patterns, and governance requirements. The role ensures 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

E – Essential

• 10+ years of experience in data architecture, solution architecture, data engineering, or related enterprise data roles.
• Demonstrated experience designing complex end-to-end data solutions across multiple technologies and business domains.
• 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 Core Competencies

• Focus on Results: Works to meet business goals set by management and leaders.
• Builds Trust and Relationships: Ensures trust with internal and external partners by delivering on commitments.
• Resilience: Has the capacity to recover quickly from difficulties; toughness.
• Communicates and Collaborates: Builds partnerships and works collaboratively with others to meet objectives.

Autolus is committed to the protection of the personal information that we collect & process and we are fully compliant with General Data Protection Regulations (GDPR). 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. We also provide reasonable accommodations where appropriate. Autolus’ success is driven by equality and inclusion; we believe all voices are of equal value and must be heard. Whilst operating with focus and integrity, we are committed to improving diversity and inclusion within our business and our industry.