At a Glance
- Tasks: Lead the design and implementation of cutting-edge data architectures for a global hedge fund.
- Company: Join a dynamic multi-strategy hedge fund with a focus on innovation.
- Benefits: Highly competitive salary, flexible hybrid working model, and career growth opportunities.
- Other info: Collaborate with a talented team and drive data governance practices.
- Why this job: Make a real impact in the financial services industry with your data expertise.
- Qualifications: 7-10 years in data architecture, strong SQL skills, and experience with security master systems.
The predicted salary is between 80000 - 100000 £ per year.
Hiring on behalf of a multi-strategy, multi-manager hedge fund is looking for a Data Architecture Lead to join their team. The firm trades globally across multiple asset classes and investment approaches. The primary focus of this role will be on the buildout and operations of a next generation security master system, in addition to designing and implementing robust data architectures. The successful candidate will lead the security master development team, overseeing the quality, performance, and scalability of the teams’ deliverables.
Key Responsibilities:
- Data Architecture and Design: Lead the design and implementation of the enterprise data architecture, ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams.
- Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. Establish and maintain data governance practices to ensure data quality, consistency, and security. Define data management policies and procedures, including data lineage, data cataloguing, and data retention. Monitor and optimize data processes to ensure efficient data integration, transformation, and storage.
- Technology Leadership: Evaluate and recommend data management tools and technologies to enhance the data architecture.
Qualifications:
- Minimum of 7-10 years of experience in data architecture, data modelling, and data management, preferably within the financial services industry.
- Deep experience with security master systems (secmaster) in a hedge fund or investment management context.
- Deep knowledge of financial instruments in a variety of asset classes: equities, options, futures, credit products, etc.
- Technical Skills: Strong experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python / SQL Server environment.
This role offers highly competitive compensation as well as a flexible hybrid working model.
Data Architecture Lead employer: Radley James Limited
As a leading multi-strategy hedge fund, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and collaboration. Our Data Architecture Lead will benefit from competitive compensation, a flexible hybrid working model, and ample opportunities for professional growth within a team of skilled engineers dedicated to excellence in data management. Join us to be part of a forward-thinking firm that values your expertise and supports your career development in the fast-paced financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architecture Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those related to security master systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL Server, Python, and cloud platforms. Practice common interview questions and think about how your past experiences align with the job description.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Data Architecture Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Architecture Lead. Highlight your experience with data architecture, especially in financial services, and showcase any relevant projects that align with our needs.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the team. Mention your leadership experience and how you’ve successfully managed teams in the past, particularly in building security master systems.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific examples of your work with SQL Server, Python, and any cloud technologies you've used. This will help us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Radley James Limited
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture and security master systems. Be ready to discuss specific examples from your past experience, especially how you've designed and implemented data architectures that align with business strategies.
✨Showcase Your Leadership Skills
As a Data Architecture Lead, you'll be managing a team. Prepare to share your leadership style and how you've mentored team members in the past. Think of instances where you’ve successfully guided a project or improved team performance.
✨Familiarise Yourself with Relevant Technologies
Get comfortable with the tools and technologies mentioned in the job description, like SQL Server, Python, and cloud platforms. Be ready to discuss how you've used these technologies in previous roles, particularly in optimising data processes.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data architecture challenges or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
