At a Glance
- Tasks: Design and build innovative data solutions while collaborating with cross-functional teams.
- Company: Join a leading multi-channel, multi-brand business focused on data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to work on cutting-edge technologies.
- Why this job: Make a real impact by shaping data architecture and driving business value.
- Qualifications: Experience in data modelling, strong communication skills, and a passion for data.
The predicted salary is between 70000 - 90000 £ per year.
As a Data Architect within our multi-channel, multi-brand business, you will play a pivotal role in designing and building leading-edge data solutions and models. Working closely with colleagues such as Product Owners and the Engineering community, you will ensure the delivery of optimal data solutions that align with business requirements.
Your responsibilities will include triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly. You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary. Acting as the custodian of data models, you will define and own modelling within delivery teams, ensuring adherence to standards and principles.
It will be your duty to create solutions that fulfil business needs and align with the end state architecture, while simultaneously documenting, communicating, and centrally managing data models in an appropriate manner. Collaborating with the broader architecture community, you will share your expertise to promote alignment and innovation across Sainsbury’s Tech.
As an experienced Data Modeller or Architect, you will bring your passion for creating order within reporting structures, along with a comprehensive understanding of Data Warehousing/Analytic end-to-end architecture. Your proficiency with various modelling methodologies, such as 3NF, Dimensional, and Data Vault, will be essential, and your expertise in staying up to date with industry advancements, including machine learning and modern algorithmic techniques at scale, will be valuable in driving data design best practices.
Strong communication and influencing skills will enable you to advocate for and implement these best practices at the Engineering and Product Manager levels. A curious and driven mindset will empower you to comprehend business processes and the data they generate, leveraging opportunities to structure and utilise this data for driving business value.
Who you are: As a Data Architect for our multi-channel, multi-brand business, you are a skilled and experienced professional who thrives in working with vast and complex data sets. With a passion for creating order within reporting structures, you possess expertise in data warehousing, analytic end-to-end architecture, and various modelling methodologies such as 3NF, Dimensional, and Data Vault.
Your knowledge of the latest industry developments, including machine learning and modern algorithmic techniques at scale, enables you to design and build leading-edge data solutions that deliver valuable insights and enhance the overall customer experience. You've got experience in canonical modelling, publication service/microservice based schematic design.
Your strong communication and influencing skills, combined with your curiosity and drive to understand business processes and leverage data for driving business value, make you a valuable asset in shaping and designing new products and services within the overall data architecture of our organisation.
Essential Criteria:
- Experience working with semi-structured, high-volume data, ideally in Digital tagging or Analytics area.
- Strong skills in stakeholder management.
- Hands on experience in DV 2.0 and Kimball dimensional data modelling.
- Clear understanding of the differences between Conceptual, Logical, and Physical data modelling, and able to demonstrate these distinctions.
- Experience in a Matrix reporting structure.
- Ability to serve as the Architecture custodian for the squad, ensuring standards and principles are followed.
- Knowledge of Data products.
- Technical expertise in designing ELT pipelines.
Data Architect (FTC) in London employer: 慨正橡扯
At Sainsbury’s, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Architect, you will have the opportunity to work with cutting-edge technologies in a supportive environment that encourages professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and our focus on creating a diverse and inclusive workplace where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (FTC) in 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 慨正橡扯!
✨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 Data Architect (FTC) at 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect (FTC) at 慨正橡扯, 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 Data Architect (FTC) in 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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.
