At a Glance
- Tasks: Lead a team in developing innovative data solutions and architectural blueprints.
- Company: Dynamic tech company based in London with a hybrid work culture.
- Benefits: Competitive salary up to £90,000 plus great benefits and flexible working.
- Other info: Join a collaborative environment with opportunities for professional growth.
- Why this job: Shape the future of enterprise data architecture and make a real impact.
- Qualifications: Proven experience in data architecture and IT leadership.
The predicted salary is between 70000 - 90000 £ per year.
I am recruiting for a suitable experienced Lead Solution Architect - Data.
This is very much a hands-on role, with deep experience with Enterprise Data Analytics, with experience of leading small team of Solution Architects.
You and your team will engage in strategic planning, stakeholder engagement, and the development of architectural blueprints, high level design and technical options
- Lead Solution Data Architect - Permanent
- Salary to £90,000 + Benefits
- Experience in IT leadership and management, including the development of highly skilled and engaged teams.
- Critical thinking with the ability to develop long-term strategies and advocate those strategies with stakeholders.
- Understanding of cloud-based services and their role in enterprise solutions.
- Deep domain expertise and demonstrable hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e. g. e. g.
Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, Power BI, Ms Fabric)
- Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality, security, cataloguing, integration and governance capabilities across the data lifecycle in enterprise environments
- Experience shaping and driving adoption of enterprise data architecture principles, and governance practices to manage data risks and auditability
- Self-managing and self-motivated, with the ability to anticipate and solve problems.
- Excellent communication skills, including the ability to present and influencesenior stakeholders.
- Working knowledge of quality standards, legislation, and best practice.
- Ability to think strategically, manage multiple initiatives, prioritise effectively, and work independently.
- Experience working with enterprise architecture frameworks (e. g. TOGAF, Zachman) and data modelling tools (e. g. Sparx Enterprise Architect)
- Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures.
- Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e. g.
Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics)
- Experience with data product thinking, domain-oriented ownership or federated operating models
- Understanding of data standards and industry models (e. g. ISO20022, FIBO, SDMX)
- Experience in platform selection, vendor evaluation and strategic technology direction
- #J-18808-Ljbffr
Lead Solution Architect - Data - Hybrid - London employer: W Talent
W Talent is an exceptional employer that prioritises the growth and development of its employees, offering a supportive work culture in the vibrant city of Cardiff. With a strong commitment to health and safety, continuous improvement, and operational excellence, team members benefit from substantial investment in their professional development and well-being, making it a rewarding place to build a career in engineering management.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Solution Architect - Data - Hybrid - London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like W Talent!
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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 W Talent.
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When you find a suitable opening like Lead Solution Architect - Data - Hybrid - London at W Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Solution Architect - Data - Hybrid - London
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 W Talent, 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 W Talent. 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 W Talent
✨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 W Talent!
✨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.
