At a Glance
- Tasks: Design and evolve data architecture to support innovative product strategies and analytics.
- Company: Join a leading tech company focused on diversity, equity, and inclusion.
- Benefits: Competitive salary, pension, bonus opportunities, and flexible working hours.
- Other info: Hybrid role with social clubs and wellbeing initiatives for a balanced work-life.
- Why this job: Shape the future of data in a collaborative and inclusive environment.
- Qualifications: Experience in data architecture and cloud platforms, with strong communication skills.
The predicted salary is between 76806 - 93874 £ per year.
It is our vision to connect the insurance community through market-leading technology. Our people are placed at the heart of this, and diversity, equity and inclusion are central to everything we do. We know the key to achieving success is to enable a positive, inclusive, and collaborative working culture.
An overview of the role:
The Data Architect defines and evolves the organisation's enterprise-wide data architecture to enable the evolving product strategy, analytics, and company-wide transformation. The role ensures data is consistent, secure, scalable, and fit for purpose across the enterprise.
Your key responsibilities:
- Define enterprise data architecture principles, standards, and roadmaps.
- Design and maintain conceptual, logical, and physical data models.
- Guide use of data platforms (data lakes, data visualisation, integration buses).
- Enable high-quality data for client-facing products (reporting, AI/ML) and operations.
- Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog.
- Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost-efficient scale.
- Evaluate emerging technologies and reduce technical debt.
- Mentor and provide direction to data and engineering teams.
- Establish effective guardrails to ensure smooth migration of customer data between heritage and modern cloud platforms at scale.
Skills and Experience:
- Strong knowledge of enterprise data architecture patterns and integration approaches (batch, streaming, event-driven, medallion, big data).
- Demonstrable experience in running long-term data migration projects between bespoke systems desirable.
- Experience with cloud data platforms - Azure (desirable) & Databricks (essential).
- Advanced data modelling expertise, using industry reference models where appropriate.
- Proven stakeholder engagement and communication skills.
- Experience operating in the insurance industry is desirable but not essential.
Benefits package:
- Salary up to £79,900 dependant on skills and experience.
- Company pension.
- Bonus opportunity.
- Life assurance and critical illness cover.
- Cycle to work scheme.
- Perkbox - an exclusive platform offering a wide range of discounts and benefits.
- Holiday entitlement of 25 days per annum, increasing to 26 days per annum after three years of service & a holiday purchase scheme.
- Opportunity for a more flexible approach to start, finish, and lunchtimes to allow you to better manage events outside of work.
- Social clubs - whether you're into your cycling, crafts, or other hobbies, we have a number of groups at Open GI where individuals who enjoy the same pursuits can get together.
- Wellbeing - wills at work scheme, employee assistance programme and mental health first aiders.
Please note, this is a hybrid role requiring attendance at our Worcester offices for a minimum of 2x days per week.
Data Architect employer: Open GI
Open GI is an exceptional employer that prioritises a positive, inclusive, and collaborative work culture, making it a fulfilling place for Data Architects to thrive. With a strong commitment to diversity, equity, and inclusion, employees are empowered to contribute meaningfully to the company's future while enjoying a comprehensive benefits package, including flexible working arrangements, social clubs, and a focus on wellbeing. Located in Worcester, the company offers a unique opportunity to be part of a transformative journey in the insurance technology sector, where innovation and teamwork are at the forefront.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 Open GI!
✨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 Open GI.
✨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 Open GI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Open GI, 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
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 Open GI, 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 Open GI. 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 Open GI
✨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 Open GI!
✨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.
