We're seeking a Solution Lead for our Data Consultancy Business
If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not job specs!
The Team
We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space!
With our ambitious goals for 2025 and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations!
Who are we seeking?
Crucially we will prioritize and are ideally seeking those from the following industries:
Telco, Financial Services (ideally insurance, banking and pensions) and Healthcare and /or Life Science.
The Role
To achieve our ambitions, we're looking to hire a Solution Lead to support and drive our client focus.
Are you ready to be the technical authority behind our clients' data transformations? Intuita is looking for a Solution Lead to join our Consultancy team - designing and delivering end-to-end data solutions that are innovative, scalable, and aligned to client needs.
As the Solution Lead, you are the design authority - you own the "what" we build with and for our clients. You'll have the final say on technical design decisions, ensuring we deliver the right, future-proof solutions. You will work as part of a client leadership alongside the Delivery Lead (who owns the "when" ) and the Client Lead (who owns the "why" ).
You'll define solution architectures, make critical technical decisions, and guide our technical teams. You'll be the go-to technical expert for clients, leading pre-sales discovery, defining solution patterns, and providing authoritative technical leadership throughout delivery.
We're seeking someone with a strong technical background in data engineering, data architecture, or a related data discipline. You should have broad experience across multiple data disciplines, with expertise in Cloud Platforms, Data Warehousing/Lakehouse design, and Data Engineering.
Senior-level stakeholder management experience and the ability to explain complex technical concepts clearly are essential.
You will:
Define and communicate the technical and architectural visions for the solution
Define and articulate solutions or architecture that balance client objectives with technical excellence
Lead technical solution design from discovery through to implementation
Guide delivery teams toward the right solution approach, meeting performance, scalability, security and other quality standards
Lead pre-sales technical discovery and contribute to proposals
Develop solution patterns, architectural standards, and reusable frameworks
Identify and mitigate technical risks and dependencies
A bit about you
Being a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire like-minded people. We see ourselves as trusted partners to our clients and believe in transparency, quality, and integrity above all else, always pushing to deliver the best outcomes for our clients. We value collaboration and teamwork, working together to solve problems and share learnings .
️ As a Solution Lead, you'll share these values but also bring your own personality and approach to the role. We're looking for someone who will be working hands-on, client facing with the following experience and qualities:
Technical Expertise
5+ years in Data Engineering, Data Architecture, Analytics Engineering or related data disciplines
Deep expertise in modern data platforms (Databricks, GCP, Snowflake, Data Factory, Azure SQL)
Proven experience designing Data Lakehouse architectures (i.e. Medallion)
Proficiency in SQL, Python, and data transformation tools (DBT, Spark)
Strong understanding of data modelling (Kimball, 3NF, Data Vault, dimensional)
Knowledge of DataOps, CI/CD, and infrastructure as code
Understanding of data governance and data quality frameworks
Cross-Disciplinary Experience
Experience across multiple data disciplines (Engineering, Architecture, Modelling, Analytics, Visualisation, Governance) or at least an appreciation for the role of each discipline in a data transformation programme
Proven ability to lead multidisciplinary teams (Data Engineers, Analytics Engineers, Analysts, BI Developers)
Consultancy & Leadership
Track record leading complex data transformation projects
Senior-level stakeholder management and client-facing experience
Design authority experience, making final decisions on solution design
Experience in Delivery Lead and/or Client Lead capacities is highly advantageous
Required Characteristics
Driven by quality and technical excellence with great attention to detail
Takes ownership of complex technical challenges and finds innovative solutions
Excellent communicator across technical and non-technical audiences
Quick to understand client context and business landscape
Pragmatic problem-solver who balances technical idealism with business reality
Hands-on when needed - willing to get into the code and data, not just architect from afar
The "Nice to Haves":
Experience in telecommunications, healthcare, or financial services - advantageous but not essential if you can demonstrate applicable skills across industries
Location:
All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia
What's in it for you?
Salary : £circa £75,000 - £95,000 per annum DOE
(Really) flexible and remote working - we don't mind when, where or how you work; you are trusted to work in the way that suits you best
Genuine care and support for your health and wellbeing - free therapy sessions, financial education, birthday treats and much more
Incredible training and learning opportunities - you'll be surrounded by the best in the business and encouraged to keep growing
✨Freedom and empowerment to own problems and explore new ideas - we allow our consultants to actually be consultants, not just bodies
A supportive, friendly team - we work hard and enjoy spending time together, whether it's in-person at socials or via silly Slack conversations
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