At a Glance
- Tasks: Shape and align data models for a cutting-edge insurance programme.
- Company: Join a forward-thinking team focused on modernising data architecture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with exciting challenges and career advancement opportunities.
- Why this job: Make a real impact in the insurance sector with innovative data solutions.
- Qualifications: Proven experience in data architecture and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Data Architect to join the Polaris Programme, a strategic initiative focused on modernising underwriting and platform capabilities. This role is primarily hands-on with a strong emphasis on data modelling and establishing a consistent data foundation across multiple inflight workstreams. The successful candidate will play a key role in shaping and aligning conceptual and logical data models, ensuring consistency with the London Market data model and supporting future PAS alignment.
Key Responsibilities:
- Develop and maintain conceptual and logical data models across the Polaris programme with a focus on underwriting and platform domains.
- Ensure alignment to London Market data standards, minimising divergence across parallel workstreams.
- Collaborate with solution Data Architects, data engineers, and business stakeholders to define consistent data structures and definitions.
- Provide hands-on guidance to delivery teams to ensure data models are implemented consistently across platforms.
- Contribute to data architecture governance, ensuring alignment with enterprise standards and architecture principles.
- Identify and resolve potential data inconsistencies, duplication, and integration risks early in the delivery lifecycle.
- Support ongoing alignment with future PAS and platform design, ensuring data models are adaptable and forward-looking.
- Work with CDO to ensure data governance processes are followed and required metadata captured.
Skills and Experience:
Essential:
- Proven experience as a Data Architect in complex multistream delivery environments.
- Strong hands-on expertise in data modelling (conceptual and logical).
- Experience working within the insurance domain with a strong understanding of data across underwriting and policy lifecycles.
- Familiarity with London Market data models and standards.
- Strong collaboration skills, able to work effectively across architecture and delivery teams.
- Experience supporting large-scale transformation programmes with multiple parallel workstreams.
Technical Skills:
- Experience working with modern data platforms such as Snowflake.
- Experience of ELT/ETL.
- Strong understanding of analytics and reporting tooling (e.g., Power BI).
- Solid grounding in data integration patterns and data pipeline design.
Desirable:
- Exposure to data governance frameworks and tooling (e.g., Collibra).
- Experience with orchestration platforms such as Astronomer/Airflow.
- Knowledge of enterprise data architecture practices including metadata management and lineage.
Mandatory Skills: Databricks, Microsoft Fabric, MS SQL Server, Redshift, Snowflake.
Good to Have Skills: ANSI-SQL, Data Vault (ODS) Modeling, Dimensional Data Modeling, ER Studio, ERWIN, GCP BigQuery, TOAD Data Modeler.
Locations
Data Architect in City of London, London employer: TESTQ Technologies
Join a forward-thinking organisation that prioritises innovation and collaboration, making it an exceptional employer for Data Architects. With a strong focus on employee growth, you will have the opportunity to work on transformative projects within the insurance sector, all while enjoying a supportive work culture that values your contributions. Located in the heart of London, this role offers not only competitive benefits but also the chance to be part of a dynamic team dedicated to shaping the future of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in City of London, London
✨Get Involved in Data Science Meetups
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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 TESTQ Technologies.
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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 TESTQ Technologies.
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We think you need these skills to ace Data Architect in City of London, 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 TESTQ Technologies, 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 TESTQ Technologies. 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 TESTQ Technologies
✨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 TESTQ Technologies!
✨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.
