Senior Consultant, Data Engineering – Analytics

🕒 April 12

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Castleton Tower Consulting, LLC

WebsiteLinkedInAll Job Openings

1 - 10 employees

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Castleton Tower Consulting, LLC is a technology consulting firm that helps asset allocators—RIAs, family offices, and institutional investors—centralize and harness their investment data. The firm specializes in building and integrating advanced data infrastructure (including data lakehouses), consolidating data from CRMs, portfolio management systems, and market data providers, and developing custom applications for reporting, risk management, portfolio optimization, and workflow automation. With a team experienced in building systems for hedge funds and top technology firms, Castleton Tower focuses on data integration, bespoke application development, and delivering technology-driven insights to improve investment decision-making and operational efficiency.

📋 Description

• Lead the design and implementation of scalable data platforms (data warehouses, data lakes) and end-to-end data pipelines • Develop and optimize production-grade code (Python/Spark) for data transformation and financial analysis • Build customized analytical applications, dashboards, and quantitative investment tools • Ensure efficient delivery and adherence to data governance and integrity standards • Collaborate with client investment teams to translate investment process requirements into robust, automated tools and data products • Provide technical and project leadership across engagements • Understand client business context to ensure technical solutions solve real problems

🎯 Requirements

• 7+ years of hands-on experience in a technical or analytical role (Quant, Quant Dev, Data Scientist, or Data Engineer). Minimum of 5 years for highly exceptional candidates • Prior experience at hedge funds, fintech firms/startups, market makers, or top-tier asset management firms. Experience at top technology or strategy consulting firms considered on a case-by-case basis • Demonstrated project leadership, ideally overseeing technical delivery from inception to production • Proficiency in Python (Pandas, NumPy, Scikit-learn) and advanced SQL query optimization • Experience with at least one major cloud platform (AWS, GCP, or Azure) and associated data services (Snowflake, Databricks) • Deep understanding of data modeling and data warehousing principles • Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect) • Experience building quantitative trading or investment tools • Background in financial data (market data, portfolio analytics, fund accounting)

🏖️ Benefits

• Total expected compensation: $250 to $500K+ (commensurate with experience) • Firm equity available for high performers