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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Solution Architect - **Company:** Autolus Ltd - **Location:** London, United Kingdom - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Software as a Service, Cloud Database, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Metadata, Cloud Services, Data Streaming, Enterprise Data Management, Enterprise Software Applications, Information Technology, Data Management, Physical Data Models, Data Pipelines, GXP - **Published:** October 30, 2026 - **Apply:** https://www.totaljobs.com/job/data-solutions-architect/autolus-job108251443 ## About the Role * 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., * 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 ## Description 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. This is an opportunity to influence the data architecture of a rapidly evolving biotech organization from the ground up., * 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.