At a Glance
- Tasks: Lead data transformation and build modern data platforms like Databricks and Snowflake.
- Company: Dynamic company focused on innovative data strategies and transformation.
- Benefits: Competitive salary, generous holiday, pension scheme, and flexible benefits.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Make a real impact in shaping the future of data architecture.
- Qualifications: 3+ years experience with MPP databases and strong leadership skills.
The predicted salary is between 76662 - 93698 £ per year.
An exciting new role focussed on delivering an ambitious data transformation strategy to move from legacy systems to modern data platforms, including Databricks and Snowflake. You will have a key role in the data office and will be supporting the data engineering function to deliver a leading data capability and help achieve digital and data goals.
Working with senior colleagues you will:
- Define the organisation's data strategy and build the target infrastructure to deliver the strategy;
- Deliver high level architectures and proof of concepts;
- Support internal teams by sharing your technical expertise;
- Promote agile ways of working and support the teams to continuously improve;
- Represent data in the broader architecture community.
Key Accountabilities:
- Data architectures and principles;
- Technology selection and use case fit;
- High level architecture for major initiatives and leadership of proof of concepts;
- Input into risk management and process quality.
You will need to be 'hands on' when required - ideally we are looking for 3+ years' experience with a MPP database system - Snowflake is preferable. An agile mindset and strong leadership and influencing skills are also required. Remote working is available - some presence in the offices in Central London or East Sussex / Kent will be required but this can be discussed. Salary is negotiable; benefits are excellent and include 5 to 6 weeks holiday plus bank holidays; generous pension scheme and further flexible benefits to suit you.
Data Architect in London employer: your Jared
Leidos UK & EUROPE is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise as a Senior Cloud Solutions Architect will be valued and nurtured. With a strong focus on employee growth, we offer numerous opportunities for professional development and career advancement, all while working in a dynamic environment that prioritises security-driven solutions. Join us in a location that not only supports your career aspirations but also encourages a healthy work-life balance and a commitment to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect 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 your Jared!
✨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 at your Jared.
✨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 your Jared.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at your Jared, 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 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 your Jared, 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 your Jared. 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 your Jared
✨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 your Jared!
✨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.
