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- Tasks: Lead strategic initiatives to modernise data infrastructure and streamline operations.
- Company: Join Soros Fund Management, a global asset manager dedicated to justice and democracy.
- Benefits: Enjoy competitive salary, year-end bonuses, and a culture of continuous growth.
- Why this job: Be part of a team that values innovation, collaboration, and making a meaningful impact.
- Qualifications: 9+ years in development, strong Python and SQL skills, finance experience required.
- Other info: Work in a dynamic environment with opportunities for professional development.
The predicted salary is between 135000 - 187500 £ per year.
Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy. Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view.
Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations. At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies. Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.
Job Overview
We are seeking a talented Data Architect with a strong background in finance and data engineering to lead strategic initiatives in modernizing our data infrastructure. In this hands-on role, you will implement key projects such as building golden source datasets and centralizing valuable Python libraries. You will play a critical role in streamlining data operations in our modern cloud environment which will unlock new capabilities for our firm. If you value a balanced approach that combines thoughtful innovation with high-quality execution, this opportunity offers the chance to play a key role in strengthening our data infrastructure while contributing to our broader mission.
Major Responsibilities
- Work with the CDO as an individual contributor to deliver key projects with far-reaching impact on trading, alpha generation, risk management, accounting, compliance, and more.
- Implement new golden source datasets such as Security Master and Price Master for firm-wide use.
- Centralize disparate Python libraries written by quant, risk, and technology teams into high-quality shared libraries.
- Review Python code changes and assist with design decisions across dev teams when appropriate.
- Transition legacy data pipelines into new target architecture using Snowflake, DBT, and data governance tools.
- Process and handle large volumes of data efficiently.
- Optimize performance for expensive processes.
- Communicate complex technical concepts effectively to technical and non-technical stakeholders.
What We Value
- 9+ years of development experience with 4+ years in finance.
- Bachelor’s degree in computer science or related field.
- Excellent Strong Python and SQL skills for data processing and automation.
- Experience building and maintaining ETL pipelines and data transformations.
- Hands-on experience with Snowflake or similar cloud-based data platforms.
- Familiarity with data transformation tools such as DBT.
- Strong understanding of data structures, data modeling, efficient query design and performance tuning.
- Hands-on experience building and deploying containerized applications (Docker, Kubernetes) in cloud environments.
- Experience working with relational databases such as MS SQL Server.
- Excellent problem-solving skills and the ability to collaborate with cross-functional teams.
Preferred Skills
- Extensive financial market data literacy with product knowledge spanning equities, fixed income, futures, and options.
- Experience designing dashboards in a Business Intelligence tool.
- Experience with an observability tool such as OpenMetadata.
We anticipate the base salary of this role to be between $180,000-250,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus. In all respects, candidates need to reflect the following SFM core values: Smart risk-taking // Owner’s Mindset // Teamwork // Humility // Integrity.
Data Architect New York employer: Soros Fund Management LLC
Contact Detail:
Soros Fund Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect New York
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and DBT. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Showcase your understanding of financial markets and data literacy. Prepare examples from your past work that highlight your knowledge in equities, fixed income, and other relevant areas, as this will resonate well with the hiring team.
✨Tip Number 3
Emphasise your problem-solving skills and ability to collaborate with cross-functional teams. Be ready to share specific instances where you successfully navigated complex challenges or worked effectively with diverse groups.
✨Tip Number 4
Prepare to discuss how you embody the core values of SFM, such as smart risk-taking and teamwork. Reflect on your previous experiences and think of ways to illustrate how you align with their culture during your conversations.
We think you need these skills to ace Data Architect New York
Some tips for your application 🫡
Understand the Company Culture: Familiarise yourself with Soros Fund Management's values and mission. Highlight how your personal values align with their focus on innovation, teamwork, and social responsibility in your application.
Tailor Your CV: Ensure your CV reflects relevant experience in data architecture, finance, and data engineering. Emphasise your skills in Python, SQL, and cloud platforms like Snowflake, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and finance. Discuss specific projects where you've implemented data solutions and how they align with SFM's goals of modernising data infrastructure.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex data challenges in previous roles. This will demonstrate your ability to communicate technical concepts effectively and collaborate with cross-functional teams.
How to prepare for a job interview at Soros Fund Management LLC
✨Understand the Company Culture
Before your interview, take some time to research Soros Fund Management's values and culture. They prioritise an ownership mindset and innovation, so be prepared to discuss how you embody these traits in your work.
✨Showcase Your Technical Skills
As a Data Architect, you'll need strong Python and SQL skills. Be ready to provide examples of your experience with ETL pipelines, data transformations, and cloud platforms like Snowflake. Consider preparing a brief case study or project that highlights your technical expertise.
✨Communicate Clearly
You'll need to explain complex technical concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely, perhaps by explaining a past project to a friend who isn't in tech.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data handling and performance optimisation. Think of specific challenges you've faced in previous roles and how you overcame them, as this will demonstrate your critical thinking skills.
