At a Glance
- Tasks: Lead the design and evolution of enterprise data platforms and analytics solutions.
- Company: Join a forward-thinking company in Leeds with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Shape the future of data architecture and make a real impact on business strategies.
- Qualifications: Extensive experience in data solutions and strong Azure expertise required.
The predicted salary is between 72000 - 88000 £ per year.
Location
Leeds, West Yorkshire (Hybrid – 3 days onsite, mandatory)
Employment Type
Permanent | Fixed-Term Contract | Contract (Inside IR35)
Start Date
- Immediate
- We are seeking a highly experienced
Principal Data Consultant / Architect to lead the design, governance, and evolution of enterprise-scale data platforms and analytics solutions.
This strategic leadership role will shape data architecture standards, influence platform strategy, and ensure scalable, secure, and business-aligned solutions across the organisation.
Key Responsibilities
- Lead the design and evolution of enterprise data platforms and architecture, ensuring solutions are scalable, secure, resilient, and aligned to business objectives.
- Define architectural standards, design patterns, and best practices across data ingestion, transformation, storage, and consumption layers.
- Provide technical leadership for Azure-based data platforms, including Databricks, Data Factory, Data Lake, and analytics solutions.
- Collaborate with Product Managers, Engineers, Analysts, and business stakeholders to translate requirements into robust technical solutions.
- Own solution architecture reviews and ensure engineering teams adhere to architectural principles and standards.
- Define and govern data models, integration patterns, data quality frameworks, and metadata management practices.
- Lead architecture discussions for new capabilities, platform enhancements, and modernization initiatives.
- Drive adoption of modern data architecture principles, including Lakehouse, Data Mesh, and domain-oriented data products where appropriate.
- Ensure solutions meet requirements for performance, scalability, security, governance, and operational supportability.
- Evaluate emerging technologies and recommend improvements to the data platform ecosystem.
- Provide mentoring and technical guidance to Data Architects, Lead Data Engineers, and Engineering teams.
- Contribute to architectural roadmaps and long-term platform strategy.
Skillset
- Extensive experience designing and delivering enterprise-scale Data & Analytics solutions.
- Strong expertise in Microsoft Azure services including Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and related data services.
- Deep understanding of modern data architectures including Data Lakes, Data Warehousing, Lakehouse Architecture, and Medallion Design Patterns.
- Strong hands-on knowledge of Databricks, Spark/Py Spark, SQL, and data engineering best practices.
- Expertise in data modelling techniques including dimensional modelling, Data Vault, and canonical data models.
- Strong understanding of data integration, ETL/ELT frameworks, API integration, and event-driven architectures.
- Experience implementing data governance, security, lineage, metadata management, and data quality frameworks.
- Familiarity with CI/CD, Infrastructure as Code, Git Hub, Azure Dev Ops, and Data Ops practices.
- Experience establishing architecture standards, design governance, and technical review processes.
- Strong stakeholder management and communication skills, with the ability to articulate complex technical concepts to both technical and business audiences.
- Experience working within Agile delivery models and leading technical teams across multiple workstreams.
- Experience in large-scale data transformation and cloud modernization programmes within retail, e Commerce, supply chain, or customer analytics environments is desirable
Interested? Apply today for a confidential discussion with our Talent Acquisition team.
- #UST
- Azure Data Factory, Data Engineering, Microsoft Azure, Python
Principal Data Consultant / Architect (Associate Data Architect II) in Leeds employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Consultant / Architect (Associate Data Architect II) in Leeds
✨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 UST!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Consultant / Architect (Associate Data Architect II) at UST.
✨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 UST.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Consultant / Architect (Associate Data Architect II) at UST, 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 Principal Data Consultant / Architect (Associate Data Architect II) in Leeds
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 UST, 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 UST. 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 UST
✨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 UST!
✨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.
