At a Glance
- Tasks: Design and shape enterprise data architecture for our investment platform.
- Company: Join a leading firm in asset management with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a significant impact in the financial services sector with your data expertise.
- Qualifications: Proven experience in data architecture and strong SQL skills required.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking an experienced Data Architect / Data Modelling Consultant to design and shape the enterprise data architecture underpinning our investment platform. This is a high-impact role for someone who combines deep technical data architecture expertise with a strong understanding of the asset management data landscape (securities, positions, transactions, benchmarks, pricing, risk, and performance data).
Key Responsibilities
- Design and own the conceptual, logical, and physical data models underpinning core investment data domains (instruments, positions, transactions, holdings, pricing, benchmarks, risk, performance, client/account data).
- Define and evolve the firm's data architecture strategy, including data warehouse/lake design, data mesh or domain-oriented approaches, and integration patterns.
- Establish data modelling standards, naming conventions, and governance practices across the organisation.
- Partner with portfolio management, risk, compliance, and operations teams to understand data requirements and translate them into scalable architecture.
- Work closely with engineering teams to implement data pipelines, master/reference data solutions, and data quality frameworks.
- Lead or support evaluation and selection of data platforms and tools (cloud data warehouses, data catalogues, MDM solutions).
- Ensure data architecture supports regulatory, risk, and reporting requirements (e.g., performance reporting, look-through, regulatory reporting).
- Produce clear architecture documentation, data dictionaries, and data lineage/mapping artefacts.
- Provide thought leadership and mentoring to data engineers and analysts on modelling best practice.
- Support data governance initiatives, including data quality, metadata management, and stewardship processes.
What We're Looking For
- Proven experience as a Data Architect / Data Modeller within asset management, investment banking, or financial services.
- Strong understanding of investment data domains: instruments/securities, positions, transactions, corporate actions, pricing, benchmarks, risk, and performance data.
- Expertise in data modelling techniques (conceptual, logical, physical; dimensional modelling, normalisation, entity-relationship modelling).
- Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, BigQuery, Azure Synapse) and data warehouse/lakehouse architectures.
- Strong SQL skills and experience with data modelling tools (e.g., ERwin, ER/Studio, dbt, SQL DBM).
- Familiarity with industry data standards and vendor data models (e.g., FIX, FpML, Bloomberg, SimCorp, GoldenSource, RIMES, FINBOURNE/LUSID).
- Experience with data governance, MDM, and metadata/lineage tools (e.g., Collibra, Alation, Informatica).
- Excellent stakeholder management skills, able to bridge business and technical teams.
- Strong documentation skills, including data dictionaries, ERDs, and architecture diagrams.
Data Architect employer: Pharos Resource Partners
Pharos Resource Partners is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI in investment management. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive environment that encourages creativity and the sharing of ideas. Located in a vibrant financial hub, our team enjoys not only competitive benefits but also the chance to work on transformative projects that shape the future of investing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
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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!
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Craft a Tailored Cover Letter:For a full-time role at Pharos Resource Partners, 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 Pharos Resource Partners. 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 Pharos Resource Partners
✨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!
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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 Pharos Resource Partners!
✨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.
