Data Product Architect
Luton/Hybrid
COMPANY
When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. With over 300 aircraft flying over 800 routes to more than 30 countries, we’re the UK’s largest airline, the second largest in Europe and the tenth largest in the world. Flying over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing.
JOB PURPOSE
Working with stakeholders within and outside IT, the Architecture function ensures that a common technology architecture framework is defined and adopted across the organisation. The Data Product Architecture (DPA) team are responsible for both shaping the longer-term direction of Data Architecture used by the easyJet business functions and playing an active role in ensuring that programmes & projects move us in that direction and assuring the delivery of good quality, fit-for-purpose solutions.
The DPA team are expected to have a broad understanding of Conceptual and Logical Data structures across all the systems within specific business domains. This role is focussed on the cross-functional enterprise IT domains of Data Management, Data Analytics, Data Engineering and Data Integration. It is expected the successful candidate will have strong experience and competency in working with larger Project & Product teams & stakeholders, reviewing and shaping alignment of integration platform and data architecture to support cross-functional needs.
Direct experience in these business domains is key to this role, as it is expected the successful candidate will quickly establish themselves as a recognised subject matter expert working across a range of business and IT delivery / technical stakeholders
JOB ACCOUNTABILITIES
To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by:
· Engages primarily with Data Product Owners to assist in translating business requirements into clear, scalable data models and solutions, ensuring effective communication and alignment between technical capabilities and business needs.
· Guide & support the realisation of the data product strategy for assigned business areas, collaborating with technical, analytical, and business teams.
· Oversee architectural activities within Domains driving Data Engineering, Data Science and Data Analytics Architecture ensuring best practices and methodologies are applied.
· Supports the establishment of architectural standards for modelling, storing, and accessing data across the organisation, ensuring scalability, interoperability, and alignment with goals to support high-quality data products.
· Assists in data ingestion, transformation, and storage designs across layers (e.g., bronze, silver, gold) of the self-service Data platform, maintaining scalability and alignment with organisational objectives.
· Participates in federated data governance by ensuring compliance with data privacy, security, and regulatory standards, promoting consistent and sustainable data practices across the organisation.
· Acts as a liaison mainly between technical teams and Data Product Owners, facilitating communication and understanding to drive productive discussions on data strategy and model implementation.
· Engages in regular learning and development to enhance understanding of data architectures and data models, ensuring alignment with the strategic needs of Data Product Owners.
· Working closely with colleagues across easyJet to build and maintain valuable and productive working relationships and ensure that the needs of the business are met. Particularly close collaboration with the Enterprise Integration, Data Engineering, Data Management and Data Analytics & Science functions will be essential.
· Responsible for maintaining and governing logical and physical data models for Data and Analytical solutions by working closely with Data Engineering Technical leads and Data modellers, along with that responsibilities you should maintain consistency across the products.
· Support the work in building data dictionaries, and data governance frameworks, by working closely with the Data governance Team.
· Align with the Enterprise Data strategies that align with the organizations data and analytics goals and objectives and maintain, enhance documentation around current state Data Architecture.
· Work closely with cross-functional teams to ensure data consistency, integrity, and security throughout the data lifecycle.
· Collaborate with data engineers and data scientists to design and implement efficient data storage and retrieval mechanisms.