Senior Consultant, AI & Data Engineering

Castleton Tower • New York, NY

20h • Hybrid

About The Position

Castleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (RIAs, family offices, hedge funds, and asset allocators) helping them modernize their data infrastructure and build AI-ready foundations. We're a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high-level strategy with hands-on technical implementation. We'll assess your technical & business strategy, design your data architecture and also code up the full stack infrastructure where needed. We're looking for a technical leader who can design and build data platforms for investment firms. This role emphasizes hands-on engineering while maintaining strategic client engagement. You'll architect data warehouses, build production pipelines, and develop quantitative tools that directly support investment decisions.

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

Nice To Haves

• 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)
• High ownership mentality: you see problems through to resolution without being told
• Understands what high-quality work looks like and how to deliver it
• Curious and interested in learning about new technologies and the investment industry
• Seeks to understand the broader business context, not just the technical requirements
• Independent thinker who takes initiative

Responsibilities

• 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

Benefits

• Strategic Impact: Lead full-scope projects from architecture design to production deployment
• Direct Mentorship: Work alongside the firm's Principals on every engagement
• Modern Tech Stack: Work with best-in-class tools (Snowflake, Databricks, dbt, Dagster, cloud infrastructure, etc.) and cutting-edge AI/agentic development workflows
• Path to Partnership: Clear trajectory toward firm equity and partnership for high performers
• Firm equity available for high performers

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed