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- Tasks: Lead data infrastructure projects, build datasets, and streamline operations in a cloud environment.
- 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 and innovation.
- Why this job: Be part of a mission-driven team that values innovation and impactful contributions.
- Qualifications: 9+ years in development, strong Python/SQL skills, and finance experience required.
- Other info: Work in a collaborative environment with opportunities for professional development.
The predicted salary is between 135000 - 175000 £ 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. Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.
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 (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect New York (Basé à London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and DBT. Having hands-on experience or even a solid understanding of these tools will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the finance and data engineering sectors. Attend relevant meetups or webinars to connect with individuals who may have insights into the company culture at Soros Fund Management and the expectations for the Data Architect role.
✨Tip Number 3
Prepare to discuss your previous projects that involved building ETL pipelines or working with large datasets. Be ready to explain your problem-solving approach and how you collaborated with cross-functional teams to achieve successful outcomes.
✨Tip Number 4
Research Soros Fund Management's core values and think about how your personal values align with theirs. Be prepared to share examples from your past experiences that demonstrate your commitment to teamwork, integrity, and an owner's mindset.
We think you need these skills to ace Data Architect New York (Basé à London)
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand Soros Fund Management's values and culture. Highlight how your personal values align with their emphasis on innovation, ownership mindset, and teamwork in your application.
Tailor Your CV: Make sure your CV reflects your 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: In your cover letter, discuss specific projects where you've successfully implemented data solutions or optimised data processes. Use this opportunity to showcase your problem-solving skills and ability to communicate complex concepts.
Highlight Relevant Experience: When detailing your work history, focus on your 9+ years of development experience, particularly the 4+ years in finance. Mention any experience with ETL pipelines, data transformations, and collaboration with cross-functional teams.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data engineering. Highlight specific projects where you've built ETL pipelines or worked with cloud platforms like Snowflake, as these are crucial for the role.
✨Demonstrate Your Financial Acumen
Since the role is in a finance-focused environment, be ready to talk about your understanding of financial market data. Discuss any relevant experience you have with equities, fixed income, or derivatives to show you can contribute effectively.
✨Emphasise Collaboration and Communication
SFM values teamwork and effective communication. Prepare examples of how you've successfully collaborated with cross-functional teams and communicated complex technical concepts to non-technical stakeholders.
✨Align with SFM's Core Values
Familiarise yourself with SFM's core values such as smart risk-taking and an owner's mindset. Be ready to share instances from your career that reflect these values, demonstrating that you're a good cultural fit for the organisation.
