Private Equity

Unified Data Platform for a Global Investment Firm

One of the world's largest alternative investment firms, managing over $150 billion across multiple strategies including private equity, credit, real estate, and impact investing.

Duration
6–8 months initial build
ongoing maintenance
Team
Data engineers
Services
Data Platform
Data Engineering
Tech Stack
AWS (S3, Secrets Manager, MWAA)
Snowflake
Airflow
dbt
Python
Monte Carlo
Tableau
Salesforce

The Challenge

The Challenge

Two divisions within the firm — the investment funds team and the real estate group — faced parallel data challenges at different scales. The funds team needed reliable, centralized portfolio data for sales operations. The real estate group needed automated financial reporting for investment analysis. Both were working with fragmented data, manual processes, and inconsistent reporting across regions and asset types.

The firm needed a shared data architecture that could unify these requirements into a single, reliable foundation — while meeting enterprise governance and compliance standards.

The Solution

We designed a shared, cloud-based data architecture serving both divisions. The goal was a unified, scalable system that automated data flows, ensured observability, and supported rapid analysis across teams.

The architecture centered on Snowflake as the single source of truth, with Airflow on AWS orchestrating all pipelines through custom Python connectors. dbt managed transformations, validation, and schema modeling, while Monte Carlo provided data observability, anomaly detection, and lineage tracking. Tableau and Salesforce served as the business-facing layers for reporting and workflow integration.

Implementation followed three phases: consolidating fragmented sources into a clean data foundation, building automated ingestion and transformation pipelines, and implementing testing and monitoring for data integrity and traceability.

Results

database

Unified source of truth

all portfolio and real estate data centralized in one platform, ensuring consistency and accuracy across divisions.
autorenew

End-to-end automation

manual ingestion, transformation, and reporting workflows fully replaced by automated pipelines.
speed

Faster, more reliable reporting

dashboards and CRM updates run automatically, eliminating human error and improving timeliness.
monitoring

Improved trust and observability

integrated testing and anomaly detection significantly increased data reliability and reduced reconciliation time.
manage_accounts

Self-serve access

sales and investment teams access up-to-date insights without engineering support, accelerating deal execution and analysis.
extension

Extensible architecture

the modular framework supports seamless onboarding of new business units, predictive analytics, and AI-based models.
Why This Matters

When your firm manages $150B+ across multiple strategies, fragmented data isn't an inconvenience — it's a structural risk. A unified platform means every team works from the same source of truth, reporting is automatic and trustworthy, and new business units can be onboarded without rebuilding from scratch. The result: faster decisions, fewer errors, and a data foundation that scales with the firm.

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