Director, Data Engineering
Position Overview
BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a hands-on leadership role for someone who understands what it means to be embedded alongside portfolio managers, advisors, and operations teams, building the datasets and delivery mechanisms that make descriptive and predictive analytics possible across the firm.
RESPONSIBILITIES
Own the dbt project: model architecture, testing standards, documentation, and code quality
Enable descriptive and predictive analytical capabilities for Investment, Advisory, and Operations teams by building the data layer those capabilities require
Evaluate build-vs-buy decisions for analytical tooling, BI platforms, and data delivery mechanisms with a bias toward outcomes over custom engineering
Execute on the modeling, design, and delivery of canonical, analytics-ready datasets in Snowflake
Develop and implement patterns for exposing curated data via APIs, AI agent tooling, and modern BI platforms for investment and portfolio analytics
Manage and mentor a team of 3-4 data engineers / senior DBA, including hiring for open roles. Design and Architect Airflow DAGs for orchestration, ensuring environment parity across prod & non-prod environments and production
Partner directly with portfolio analysts, advisors, and operations leaders to understand analytical needs and translate them into data products
Drive the ongoing migration from legacy data stores to Snowflake using incremental, demand-driven approaches
Establish and enforce data quality standards and certification workflows so datasets are trustworthy enough to power AI applications, client-facing analytics, and strategic recommendations
Integrate data from custodians, market data vendors, and third-party systems into the canonical layer
QUALIFICATIONS
7+ years of data engineering experience, with at least 2 years managing engineers
Strong proficiency with Snowflake and dbt in a production environment
Strong SQL skills, including performance optimization and complex analytical queries
Experience working with financial services data: securities identifiers (CUSIP, ISIN, SEDOL), portfolio/position structures, fund accounting concepts, or market data
Experience designing data access patterns beyond traditional SQL query: APIs, data services, semantic layers, or programmatic interfaces for downstream applications
Experience with Linux, Git, CI/CD pipelines, and infrastructure-as-code concepts
Experience building or contributing to AI/ML data pipelines, including preparing structured data for LLM-powered applications or agent frameworks
Experience with Azure cloud services (Container Apps, APIM, Entra ID)
Experience with Terraform or similar IaC for Snowflake resource management
PREFERRED QUALIFICATIONS
Experience embedded within or supporting investment teams at a hedge fund, asset manager, or wealth management firm (e.g., strats, quantitative analytics, research data engineering)
Experience evaluating and implementing BI platforms (Sigma, Tableau, Power BI) for investment or portfolio analytics use cases
Familiarity with CRM data (Dynamics 365), portfolio management systems (APX, Geneva), or performance reporting platforms
Experience building or contributing to AI/ML data pipelines, including preparing structured data for LLM-powered applications or agent frameworks
Experience with Azure cloud services (Container Apps, APIM, Entra ID)
Experience with Terraform or similar IaC for Snowflake resource management