At a Glance
- Tasks: Design and optimise data architectures for large financial systems in a hybrid work environment.
- Company: Join a leading financial services firm with a focus on innovation and collaboration.
- Benefits: Enjoy competitive pay, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with opportunities for career advancement in a fast-paced environment.
- Why this job: Make a real impact in the financial sector while working with cutting-edge data technologies.
- Qualifications: Strong experience in data architecture and excellent communication skills required.
The predicted salary is between 51750 - 63250 £ per year.
About the Role
- Location – Burgess Hill, UK
- Mode of Work – Hybrid (3 Days Onsite Per Week)
- Type of Hiring – Permanent / Fixed Term Employment (FTE – 12+ Months)
Required Skills Experience
- Technical Skills-
- Strong experience in data architecture and enterprise data modelling
- Deep expertise in relational database design and modelling
- Oracle
- Strong hands‑on experience with No SQL distributed databases
- Yugabyte DB
- Solid understanding of
- Data normalization and denormalization
- Data partitioning and replication strategies
- High availability and scalability patterns
- Experience creating
- Conceptual models
- Logical models
- Physical models
- Hands‑on experience with data modelling tools such as
- Hackolade preferred
- Strong knowledge of enterprise integration and data governance principles
- Familiarity with cloud and hybrid data architectures is advantageous
- Functional Domain Experience
- Experience working within
- Capital markets
- Investment banking
- Trading platforms
- Risk or regulatory environments
- Strong understanding of financial data domains and transactional systems preferred
Communication Soft Skills
- Excellent English communication skills written and verbal
- Strong presentation and stakeholder engagement capabilities
- Ability to communicate complex technical concepts clearly to both business and technical audiences
- Strong analytical and documentation skills
- Ability to work independently in a fast‑paced enterprise environment
- Collaborative mindset with strong problem‑solving capabilities
Key Responsibilities
- Understand analyze and document existing and target state data architectures for large financial systems
- Collaborate with business stakeholders’ architects’ application teams and engineering leads to define enterprise data models and integration patterns
- Develop and maintain
- Logical data models
- Physical data models
- Design scalable and high-performance database solutions across
- Relational databases Oracle Postgre SQL
- Solutions on prem or on the Cloudaces
- Define data standards modelling conventions governance principles and metadata documentation
- Support enterprise-wide data strategy initiatives and contribute to architecture governance reviews
- Produce architecture documentation presentations and technical artifacts for both technical and nontechnical audiences
- Assess current state systems and recommend modernization or optimization opportunities
- Work closely with development and infrastructure teams to ensure implementation aligns with architectural guidelines
- Participate in data migration integration and transformation planning activities
- Support performance scalability resiliency and disaster recovery considerations within data architecture designs
Preferred Qualifications
- Bachelor’s or master’s degree in computer science information systems engineering or related discipline
- Experience working on large enterprise transformation programs
- Exposure to data governance and enterprise architecture frameworks
- Financial industry certifications or architecture certifications are a plus
- #J-18808-Ljbffr
Data Architect Financial Services employer: Net2Source (N2S)
Net2Source (N2S) is an exceptional employer located in Basildon, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from ongoing professional development opportunities and a supportive environment that values their contributions, making it an ideal place for those looking to grow their careers in data warehousing and ETL solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect Financial Services
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We think you need these skills to ace Data Architect Financial Services
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!
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Craft a Tailored Cover Letter:For a full-time role at Net2Source (N2S), 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 Net2Source (N2S). 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 Net2Source (N2S)
✨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 Net2Source (N2S)!
✨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.
