Hybrid Data Solution Architect: Enterprise Data Governance

Autolus, Inc.; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Autolus, Inc. is seeking a Data Solution Architect in London to design and deliver end-to-end data solutions across integration, warehouse, and governance domains. You will translate business requirements into scalable architectures and collaborate with Data Product Owners and engineering teams.

The role focuses on building modern data models, ensuring data quality and security, and aligning with enterprise data architecture. Hybrid work in White City, with competitive compensation.

Qualifications

• 10+ years in data architecture, solution architecture, data engineering, or related roles.
• Experience designing end-to-end data solutions across multiple technologies and domains.
• Strong experience with data warehousing, data integration, MDM, data governance.
• Experience with cloud data platforms and regulated environments preferred.

Responsibilities

• Design end-to-end data solutions across data integration, data warehouse, master data, governance, and analytics.
• Translate business requirements into architecture and technical designs.
• Develop conceptual, logical, and physical data models for operational, reporting, and analytical needs.
• Define data flows, integration patterns, system interactions, and dependencies across platforms.
• Determine how new data sources should be integrated, modeled, mastered, governed, and reported.
• Provide architectural guidance and maintain standards across teams.

Skills

Data architecture

Data modeling

Cloud data platforms

ETL/ELT

APIs & integration

Data governance & security

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related discipline

Job description

Autolus, Inc. is seeking a Data Solution Architect in London to design and deliver end-to-end data solutions across integration, warehouse, and governance domains. You will translate business requirements into scalable architectures and collaborate with Data Product Owners and engineering teams.

The role focuses on building modern data models, ensuring data quality and security, and aligning with enterprise data architecture. Hybrid work in White City, with competitive compensation.