Data Architect New York

Soros Fund Management LLC; London; On-site; USD 180,000 - 250,000; Full time

Job summary

An established industry player is seeking a talented Data Architect to modernize its data infrastructure. This hands-on role involves implementing key projects, such as building golden source datasets and centralizing Python libraries, to streamline data operations in a modern cloud environment. The ideal candidate will have extensive experience in finance and data engineering, with a strong focus on innovation and execution. Join a collaborative team that values ownership, continuous growth, and impactful contributions, and play a crucial role in enhancing the firm's data capabilities while supporting its broader mission of social responsibility.

Qualifications

• 9+ years of development experience, including 4+ years in finance.
• Strong Python and SQL skills for data processing and automation.

Responsibilities

• Lead projects to deliver impactful data solutions for trading and risk management.
• Centralize Python libraries and transition legacy data pipelines.

Skills

Python

SQL

Data Processing

Problem-Solving

Data Modeling

Performance Tuning

Education

Bachelor’s degree in Computer Science

Tools

Snowflake

DBT

Docker

Kubernetes

MS SQL Server

Job description

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.

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

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