We are partnering with a highly successful and growing investment management firm seeking a Senior Data Engineer to help transform and modernize its enterprise data platform. This is a unique opportunity to join a lean, high-performing technology and data team where your work will have immediate visibility and measurable impact across the organization. Unlike large financial institutions where responsibilities can be narrowly defined, this role offers broad ownership across data architecture, cloud migration, market data engineering, analytics platforms, and API infrastructure. The firm invests across global markets with a particular focus on Fixed Income, Credit, FX, Interest Rates, Commodities, and derivative products. Data is central to the investment process, and this position will play a critical role in building the next generation of data infrastructure that supports portfolio managers, traders, researchers, and business stakeholders.

 

• The role is based in New York City and is a hybrid work environment with 4 days a week in the office with additional flexibility to work from home two weeks a year. Compensation is based on expereince but the range is 175-240k base plus bonus and benefits. 

Responsibilities:

Data Platform Modernization

• Lead the evolution of the firm's data platform from legacy on-premise environments into a modern cloud-based architecture.

• Design, build, and maintain scalable ELT pipelines using Python, SQL Server, Snowflake, and dbt.

• Integrate data from vendor feeds, APIs, market data providers, and internal systems.

• Develop robust frameworks for data ingestion, transformation, and storage.

Market Data Engineering

• Build and optimize pipelines supporting complex market data analytics.

• Work with Fixed Income, Credit, FX, Rates, Commodities, and derivatives datasets.

• Support yield curve construction, pricing analytics, risk analytics, P&L attribution, and reference data management.

• Partner with investment professionals to deliver reliable, high-quality datasets.

Cloud & Data Warehouse Architecture

• Help drive migration initiatives from SQL Server and legacy environments into Snowflake.

• Design scalable data models and enterprise warehouse solutions.

• Implement best practices around performance tuning, governance, lineage, and data quality.

Analytics & API Development

• Enhance Python-based data services and APIs that power investment workflows.

• Optimize reporting and analytics environments through indexing, clustering, caching, and query tuning.

• Support business intelligence and self-service analytics initiatives.

Data Governance & Quality

• Build automated monitoring and validation frameworks.

• Develop controls for stale data detection, schema drift, duplicate records, and anomaly identification.

• Maintain data cataloging, ownership, lineage, and quality standards across the platform.

Required Qualifications:

Required Experience

• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.

• Prior experience within a:

  • Hedge Fund

  • Asset Management Firm

  • Investment Management Firm

  • Private Equity Firm

  • Alternative Asset Manager

  • Capital Markets or Trading Environment

Technical Skills

• Advanced Python development experience.

• Expert-level SQL development and performance tuning.

• Strong experience with Microsoft SQL Server.

• Hands-on experience with Snowflake.

• Strong experience building and maintaining dbt frameworks.

• Experience designing enterprise-scale ELT pipelines.

• Experience working with APIs and data integration platforms.

Capital Markets Experience

Candidates must have strong exposure to financial market data and investment workflows, ideally including:

• Fixed Income

• Credit Products

• Foreign Exchange (FX)

• Interest Rate Products

• Commodities

• Derivatives

• Yield Curves

• Security Master Data

• Market Data Platforms

• Bloomberg, LSEG/Refinitiv, FactSet, ICE, or similar data providers

Preferred Qualifications

• Experience with Azure, Azure Data Factory, Databricks, or Synapse.

• Experience migrating data platforms from SQL Server to modern cloud environments.

• Exposure to high-performance trading systems or electronic trading platforms.

• Experience with Power BI, Tableau, or enterprise reporting environments.

• Familiarity with event-driven architectures, CDC, streaming technologies, or real-time market data.

• Experience building semantic layers and AI-ready data platforms.

If you meet the required qualifications and are interested in this role, please apply today. 

The Solomon Page Distinction

Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs – this specialized approach sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.

 

 

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