At a Glance
- Tasks: Design and maintain data models for innovative insurance solutions.
- Company: Join a leading firm in the insurance sector with a focus on data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of transformative projects with excellent career advancement potential.
- Why this job: Shape the future of data architecture in a dynamic and collaborative environment.
- Qualifications: Experience as a Data Architect with strong data modelling skills.
The predicted salary is between 60000 - 80000 £ per year.
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
- Proven experience as a Data Architect in complex multi-stream delivery environments.
- Strong hands-on expertise in data modelling (conceptual and logical).
- Experience working within the insurance domain with 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.
- 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 Model
Data Architect employer: LTM
As a Data Architect at our company, you will thrive in a dynamic and collaborative work environment that prioritises innovation and professional growth. We offer competitive benefits, a strong commitment to data governance, and the opportunity to work on large-scale transformation programmes within the insurance domain, all while being part of a team that values your expertise and contributions. Our London location provides access to a vibrant market, fostering connections and opportunities for career advancement.
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 LTM!
✨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 LTM.
✨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 LTM.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at LTM, 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 LTM, 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 LTM. 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 LTM
✨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 LTM!
✨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.
