Data Architect
Listed on 2026-02-28
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IT/Tech
Data Engineer, Data Analyst, Cloud Computing, Data Science Manager
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our TeamPA Consulting – Bristol, UK.
BenefitsCompetitive.
Why consider joining our Digital & Data community?- Join our Data Science team, part of Digital & Data, working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions.
- Grow a flexible and unique consulting career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do.
- Hybrid working – our approach is to be in the office or on client site a minimum of 2 days per week.
- Work on a broad variety of projects and tech stacks for clients across seven sectors – no project is ever the same.
- Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring.
- Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training), plus gain certifications.
As a Data Architect you will help drive data and AI transformations for our clients by defining the data blueprint and architecture for our clients' most complex programmes. This role requires an understanding of both classic and latest‑generation platform capabilities. You will architect end‑to‑end data platforms which include ingestion, orchestration, governance, security, cost‑optimisation, and observability. You will have strong client‑facing skills to translate business needs into scalable, resilient, and secure data solutions.
OurTech Stack
- Multi‑cloud, data warehousing and data lake platforms
- Data manipulation, integration and ingestion technologies
- Programming/scripting languages
- ML/AI frameworks
- Infrastructure & Dev Ops concepts and tooling
- Data Visualization/BI & Analytics platforms
- Semantic models and metrics layers
- Data governance tooling
- Operate at a strategic and leadership‑focused level
- Handle complex client challenges, lead teams, and take ownership of end‑to‑end assignment delivery
- Play a role in business growth through bid leadership, identifying new opportunities, and leverage a strong internal and external network
- Help connect and support newer team members. Drive the development and sharing of thought leadership, champion best practice, and be seen as the go‑to expert in your technical area
- Set direction for teams, create an inclusive environment, and push both capability and client outcomes to a higher standard.
- Work to agile best practices and cross‑functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients.
- Collaborate closely as a core member of engineering teams, often taking a lead SME role to define vision and establish the right practical architecture.
- Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
- An environment that deeply cares about its values.
- As part of our Digital team, you’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner.
- Hands‑on data background with experience leading engineering teams to deliver applications and services
- Clear understanding and practical application of data architecture and delivery methodologies.
- Operate confidently across the data domain with clear understanding of the impact of AI both in the solutions required and how those solutions are delivered
- Commitment…
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