At a Glance
- Tasks: Lead the design of innovative data architectures for global enterprises.
- Company: Join a leading global consulting firm with a focus on Data & AI.
- Benefits: Competitive salary, professional development, and opportunities to work on high-profile projects.
- Other info: Collaborate with diverse teams in a dynamic, Agile environment.
- Why this job: Make a real impact by transforming how organisations leverage their data.
- Qualifications: Experience in data architecture and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
We're partnering with a leading global consulting firm to recruit an experienced
Data Solution Architect to join a high-performing Data & AI practice delivering large-scale transformation programmes for global enterprise clients.
This is an exciting opportunity to help organisations unlock the value of their data by designing modern, scalable data architectures that drive business outcomes.
Working across a diverse range of industries, you'll lead complex data initiatives, influence technology strategy and collaborate with multidisciplinary teams to deliver innovative, enterprise-grade solutions.
- What you'll be doing
- Lead the design and delivery of enterprise data architecture solutions for large-scale transformation programmes.
- Partner with senior client stakeholders to define data strategies, roadmaps and target architectures aligned to business objectives.
- Design modern cloud-based data platforms that enable advanced analytics, AI and business intelligence capabilities.
- Work closely with architects, engineers, analysts and delivery teams to ensure solutions are successfully implemented.
- Provide technical leadership throughout the project lifecycle, from discovery and solution design through to delivery.
- Support business development activities, contributing to client proposals, solution shaping and thought leadership across the Data & AI practice.
What we're looking for
- Proven experience designing and delivering enterprise data architecture solutions within complex organisations.
- Strong understanding of data architecture principles, including data modelling, governance, master data management and data quality.
- Experience translating business requirements into scalable, practical technology solutions.
- Knowledge of modern cloud data platforms and technologies such as Microsoft Fabric, Databricks, Azure, AWS or GCP.
- Experience working within Agile delivery environments and collaborating with cross-functional technical and business teams.
- Excellent consulting, communication and stakeholder management skills, with the ability to influence senior business and technology leaders.
This is an outstanding opportunity to join a top-tier consultancy delivering high-profile data transformation programmes, working with leading organisations on some of the most ambitious and innovative projects in the market.
Data Solution Architect | Leading Global Consulting Firm | Senior Manager in Bolton employer: Milburn Lewis
As a leading global consulting firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities, including professional development programmes and mentorship, all while working in a vibrant location that promotes work-life balance. Join us to be part of a team that values your contributions and supports your career aspirations in the exciting fields of Data and AI within Banking and Capital Markets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect | Leading Global Consulting Firm | Senior Manager in Bolton
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We think you need these skills to ace Data Solution Architect | Leading Global Consulting Firm | Senior Manager in Bolton
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 Milburn Lewis, 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 Milburn Lewis. 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 Milburn Lewis
✨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 Milburn Lewis!
✨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.
