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Data Architect

Williams Racing

Grove

On-site

GBP 60,000 - 80,000

Full time

2 days ago
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Job summary

A leading company in motorsport is seeking a Data Architect to design and maintain a centralized data architecture. The role involves overseeing data models, aligning with business strategies, and providing technical leadership. Ideal candidates will have a degree in an analytical field and experience in data modelling and cloud infrastructure.

Qualifications

  • Experience analysing and modelling data from complex business applications.
  • Proven ability to build end-to-end and hybrid data platforms.

Responsibilities

  • Oversee the design of multiple data models and the data platform.
  • Champion data architecture and communicate with senior levels.
  • Design architecture solutions aligned with long-term business objectives.

Skills

Data Modelling
Communication
Problem-Solving
Analytical Skills
Collaboration

Education

Degree in an analytical subject

Tools

AWS
Python
SQL
Terraform

Job description

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We are looking for a Data Architect to join the team to design, implement and maintain a centralised, end-to-end data architecture solution and platform for Atlassian Williams Racing. You will set the vision for the data platform and use of data through data design to ensure that the platform is managed properly and meets the strategic needs of the organisation, as directed by the Management Committee and senior stakeholders.

Responsibilities

  • Oversee the design of multiple data models and the data platform, and have a broad understanding of how the platform and models fulfils the needs of the organisation
  • Be accountable for supporting and aligning to the organisation’s data strategy
  • Champion data architecture both internally and through collaborating and communicating at the most senior levels across the organisation
  • Design and enhance ontologies to meet changing customer needs
  • Be accountable for assuring data models at the level of a project or enterprise
  • Provide advice to project teams and oversee the management of the full data product life cycle
  • Ensure that the organisation’s systems are designed in accordance with the enterprise data architecture
  • Design architecture solutions that are in line with long-term business objectives
  • Design a data infrastructure that supports complex data analytics services
  • Provide technical leadership and direction for the company’s engineering teams
  • Build effective relationships with senior technical staff to ensure a common understanding of goals and challenges
  • Meet with clients or executive team members to engage in architectural and requirement analysis discussions
  • Create diagrams that show key data entities and creating an inventory of the data needed to implement solutions
  • Help to maintain the integrity and security of the company’s database
  • Design the method to categorise data models within the organisation
  • Advocate for, and oversee compliance with, data policies and standards
  • Decide where standards need to be set across the organisation, and how to set them in the wider context of Atlassian Williams Racing

Skills And Experience Required

  • Degree level qualification in an analytical subject or equivalent training/experience
  • Experience analysing and modelling data from complex business applications
  • Proven ability to build end-to-end and hybrid data platforms aligned with strategic goals
  • Skilled in working with business users to capture, analyse, and document data (e.g. creation/update/deletion points, definitions, IT system requirements)
  • Proficiency in data modelling concepts and practices
  • Ability to communicate options with awareness of risks and uncertainties
  • Ability to understand risk assurance and implement mitigation mechanisms
  • Ability to identify opportunities to reuse and align data models across organisations, particularly in motorsport
  • Confident communicating and visualising detailed information to varied audiences, including senior managers
  • Strong creative and analytical problem-solving skills with the ability to balance pragmatism and idealism
  • Detail-oriented “completer-finisher” with high accuracy and precision
  • Supportive, collaborative, and inclusive; ability to constructively challenge for better outcomes
  • Experienced in prioritising, estimating, and scheduling workloads
  • Effective at managing stakeholder expectations across technical and non-technical groups

Desirable

  • Familiarity with deploying and managing cloud-based infrastructure and services on AWS
  • Experience using Python for automation, data processing, or integration tasks
  • Proficiency in SQL
  • Knowledge of Infrastructure as Code (IaC) practices, particularly using Terraform to provision and manage cloud environments
  • Understanding of how to work with or build scalable data platforms, including experience with real-time or near-real-time data storage solutions

Company Description

For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name.

Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid.

Additional Information

Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology

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