Data Architect | Information Technology

Description:

KSL Capital Partners, LLC (“KSL”) is a leading global private equity firm specializing in travel and leisure enterprises. KSL specializes in investments across five primary sectors: hospitality, recreation, clubs, real estate, and travel services. KSL has approximately $25 billion of assets under management across its equity, debt, and tactical opportunities funds and has completed over 185 investments since 2005. These investments include some of the premier businesses and properties in travel and leisure globally.

Today, KSL has offices in Denver, Colorado;
Stamford, Connecticut;
New York City, New York; and London, England.

To support KSL’s continued growth and evolving data strategy, the Data & AI team is seeking a Data Architect, to own the firm’s data infrastructure and enable seamless, reliable data flow across the organization. Reporting to the Chief Technology Officer, this role will be instrumental in unifying disparate data sources into a cohesive, scalable architecture and will serve as a critical technical partner across FP&A, Deal Teams, Strategic Operations, Fund Operations, and Portfolio Companies.

This role serves as the primary technical counter party to external consultants, responsible for reviewing architectural decisions, ensuring long‑term maintainability, and leading the gradual transition of data warehouse ownership in-house. Working in close coordination with a dedicated team of external consultants, this position will direct and participate in the design, construction, and maintenance of the data pipelines, integrations, and infrastructure that power KSL’s reporting and analytics capabilities.

The ideal candidate is a hands‑on technical contributor who brings strong data engineering fundamentals and a pragmatic, solutions‑oriented mindset. This role sits within a growing Data and AI team and will serve as a foundational hire as the team scales. The ideal candidate knows when to leverage consultants or external resources to accelerate delivery and embracing AI tools to work efficiently and drive higher output.

They must be comfortable interfacing directly with internal leadership and portfolio company teams to translate business needs into reliable data solutions.

• Own and evolve the firm’s Snowflake data platform, ensuring it is secure, performant, cost‑effective, and structured to support dynamic reporting and self‑serve analytics across the firm
• Design and operate reliable data ingestion and transformation workflows that unify data from portfolio companies, from property management systems and ERPs to CRMs and custom data feeds into a unified, reliable enterprise data layer in Snowflake
• Develop and maintain the Snowflake data platform, implementing role‑based security, performance tuning, and cost‑optimization practices to ensure a production‑grade environment
• Partner closely with external consultants, finance, deal teams, and operations to deliver trusted, self‑servereporting and analytics providing clean, well‑modeled datasets that powers BI tools like Sigma, Power BI, or Tableau
• Assist with the end‑to‑end data onboarding process for new investments partnering with internal teams and portfolio company operators to map source systems, data extraction and ingestion pipelines into Snowflake, define key metric taxonomies, and validate data quality from day one
• Establish and document data architecture, definitions, and governance standards to ensure data consistency and quality firm‑wide
• Actively leverage AI tools and automation including AI‑assisted coding, data pipeline generation, and anomaly detection to work efficiently, reduce manual effort, and elevate the quality and speed of data delivery across the firm
• Establish and enforce standardized data models, naming conventions, and metric definitions across portfolio companies to ensure consistency in how performance data is captured, stored, and surfaced for monitoring, valuations, and investor reporting

• Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, or a related technical field; degrees in Finance, Economics, or Accounting…