Senior Consultant, Data Engineering & Analytics

Job description

**The Firm** 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. What makes us different: 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. **The Opportunity** 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. **What you'll get:** - **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 **Core Responsibilities** **Technical Leadership** - 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 **Client Engagement** - 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 **Qualifications** **Required:** - 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 **Valued:** - 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) **Personal Attributes:** - 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 **Location & Compensation** **Location:** Hybrid in the NYC area. Expect to travel roughly one week per month for on-site client work. **Compensation:** - Total expected compensation: $250 to $500K+ (commensurate with experience) - Firm equity available for high performers