Get more replies from employers
Send a job-specific resume in minutes.
AND Digital is seeking a Data Solution Principal (hands-on Architect) to lead and expand our data & AI capability in the UK. You will work with local leadership, AND's global data practice, and client teams to drive growth and value.
You will steer enterprise-scale data solution design, ensure extensible architectures, and deliver high-impact outcomes for multi-vendor projects, leveraging your deep technical fluency and governance mindset.
We’re on a mission to close the world’s tech skills gap.
We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster.
Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology.
That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers.
Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.
To strengthen AND's position as a leader in the data industry, we are seeking a Data Solution Principal (hands on Architect) to both lead and expand our data & AI capability. This pivotal position supporting the local club leadership requires a balance of leading on client, taking a leading role in the data practice proposition in the local market and building out our existing data skills and capability. You will be working closely with ANDs global data practice team, your practice team and local leadership to drive growth and value for our clients deepening our client partnerships.
You lead by example. While your primary focus is strategic, you maintain the technical depth required to guide teams through the full Data Product Lifecycle:
Databricks Certified Data Engineer Associate/Professional or Databricks GenAI Associate.
We are committed to making the recruitment process as smooth and as hassle free as possible. This is the approach we take:
We’re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way.
Our model is designed to build belonging and connection: we’re organised into regional ‘Clubs’ of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole.
Our Practice Areas act as a ‘second home’ for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy.
Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves.
Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.
We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.
We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.