Data Architect

Data Architect

Our Mission
At Vertical Aerospace, we are pioneering electric aviation. The Valo, our eVTOL aircraft, sets a new safety standard while moving towards zero emissions. We aim to redefine aerospace best practices and achieve airliner‑level safety certification in 2028.
As a Data Architect, you will…
Your responsibilities include defining and maintaining the target data architecture across the organisation, ensuring consistency between enterprise and time‑series domains. You will also shape pipelines, models, and platform components, balancing long‑term architecture with practical delivery.
What You’ll Do

Define and maintain the target data architecture, covering data platforms, data models, and integration patterns
Design and govern scalable data models for both enterprise and time‑series data, ensuring consistency and reuse
Establish standards for data modelling, transformation, and pipeline design across analytical and operational use cases
Work closely with data engineering teams to ensure pipelines align with agreed architectural patterns and support downstream analytics
Contribute hands‑on to the development of pipelines, models, and data platform components where required
Define how data is exposed through semantic layers and BI tools to ensure consistent metrics and definitions
Support integration of data across systems, including engineering, test, and enterprise platforms
Identify and reduce fragmentation in data sources, pipelines, and reporting outputs
Contribute to platform and tooling decisions, ensuring alignment with long‑term architectural goals while remaining practical to deliver
Embed best practices in data quality, lineage, and governance within the architecture and its implementation

What You’ll Bring

Strong experience in data architecture, with hands‑on data engineering experience in a complex data‑rich environment
Proven ability to design scalable data models and architectures, and support their implementation in production systems
Deep understanding of modern data architectures, including cloud platforms, data lakes/warehouses, and pipeline design
Experience working closely with data engineering teams, and contributing directly to delivery where needed
Strong knowledge of data modelling techniques (e.g. dimensional modelling, normalisation, time‑series considerations)
Familiarity with both structured enterprise data and high‑volume time‑series data environments
Experience defining semantic layers, metrics, and data structures for analytics and reporting
Ability to balance long‑term architectural integrity with short‑term delivery needs
Strong stakeholder engagement skills, with the ability to align technical and non‑technical teams around common standards

Our Benefits

26 days holiday, plus bank holiday
5 extra days per year to buy (or sell)
5 extra days holiday when you get married or enter a civil partnership
Additional 4% of your salary to spend on extra benefits
Award‑winning digital health and wellbeing service (Help@Hand)
Company performance‑based bonus rewarding company and individual performance
Company Share Scheme open to every employeeCompany Pension Scheme – 5% with a company match
Breakfast on us, every day

Disclaimer Statement
We encourage you to apply even if you may not have all the experience listed in the advert. We recognise that talent comes in various forms and we are committed to providing opportunities that create an environment of growth, diversity, and inclusion for everyone. As part of our desire to review and make our processes fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section.
#J-18808-Ljbffr