Private markets investment platform managing $94.6bn in assets
Pantheon is a 40-year-old private markets investor managing nearly $95bn in assets across private equity, real assets, and private credit. The tech stack reveals a heavy Azure + Databricks data infrastructure (dbt, Synapse, Data Factory, PySpark) paired with finance-core systems (Workday, Concur, Dynamics 365), grounded by a data-driven org structure: finance and data hiring dominate the current 12 open roles, and active projects center on fund analytics, data warehouse modernization, and control frameworks—pointing to a firm scaling internal investment operations through cloud-native analytics rather than product innovation.
Pantheon provides end-to-end private markets solutions to institutional investors, family offices, and wealth advisers, spanning primary commitments, co-investments, secondaries, and direct customized accounts. Founded in 1982, the firm operates a global presence across Europe, the Americas, and Asia, with around $62bn in discretionary assets under management (as of June 2023). The company's internal platform focus reflects typical private-markets infrastructure challenges: complex fund lifecycles, multi-entity compliance, and the need to synthesize investment data across disparate sources into actionable dashboards and analytics.
Pantheon uses Azure (Data Factory, Functions, Synapse, DevOps), Databricks, PySpark, dbt, SQL Server, and .NET/C# for application logic, paired with Microsoft 365 tools (Power BI, Power Apps, Power Automate) and HR/finance systems (Workday, Concur, Dynamics 365).
Yes. Data roles represent 3 of 12 active open positions (25% of hiring), posted with mid-level and senior seniority weights, across the US and UK.
As of June 2023, Pantheon manages approximately $62bn in discretionary assets under management and $94.6bn in total assets managed or advised.
Pantheon's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.