At a Glance
- Tasks: Lead a dynamic team to design and deliver innovative data solutions.
- Company: Join Kainos, a people-first tech company focused on collaboration and creativity.
- Benefits: Enjoy competitive salary, career development, and a supportive work culture.
- Other info: Diverse environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the tech world while growing your skills.
- Qualifications: Experience in data architecture and team leadership is essential.
The predicted salary is between 70000 - 90000 £ per year.
Join Kainos and shape the future. At Kainos, we’re problem solvers, innovators, and collaborators – driven by a shared mission to create real impact. We believe in a people‑first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
As a Data Solution Architect (Manager) in Kainos, you’ll be responsible for a multi‑skilled agile team to design and deliver contemporary data solutions. You will be a quality‑orientated pragmatist, balancing trade‑offs to successfully deliver complex solutions. You will be viewed as an authority figure for data technology solutions, providing strong technical and thought leadership.
Your Responsibilities Will Include:
- Successfully implementing functional and non‑functional designs.
- Working closely with Ops and Infrastructure architects to productionise robust, resilient, and maintainable data solutions.
- Working closely with customer architects to agree functional and non‑functional designs.
- Advising, questioning, informing, and helping the customer in making sound solution design outcomes.
- Working with your peers to develop policy and standards, share knowledge and mentor those around you.
- Managing and estimating timelines underpinning solution delivery.
- Owning technical solution design as part of a pre‑sales process.
- Making a significant contribution to the data community and wider data capability.
- Managing, coaching and developing a small number of staff, focusing on managing employee performance and assisting in their career development.
You’ll also provide direction for your team as you solve problems together.
Minimum (essential) Requirements:
- Experience of leading multiple teams as the data solution architect, with ownership of a system of systems.
- Experience in designing, building and productionising modern data‑intensive applications including orchestration and operation.
- Broad knowledge of the full spectrum of data technologies (data ingestion, transformation, storage, presentation, consumption) being able to integrate these into successful solutions.
- Strategic design thinking experience, including problem conceptualisation, approach and roadmap definition, architecture realisation and risk management.
- Comfortable with traditional and contemporary data warehousing concepts.
- Experience of deploying data‑processing platforms from vendors such as AWS, Azure, GCP, Databricks.
- Comfortable in one or more of Java, Scala, or Python with the ability to be ‘hands on’ when required.
- A demonstrated ability in managing, coaching and developing members of your team and wider community.
Desirable:
- Knowledge of wider Data Architecture concepts, for example Master Data Management, Masking, Data Governance, Provenance and Lineage.
- Experience of Technical Evaluation and product selection.
- Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation.
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.
We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Data Solution Architect employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect
✨Get Involved in Data Science Meetups
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Limelight Health.
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We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Limelight Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Limelight Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Limelight Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Limelight Health!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
