Context
As a global identity security platform, LastPass handles sensitive data across millions of users and enterprise accounts. As data volumes continue to grow over time, the need for a scalable, high-performing data platform becomes critical. The existing data warehouse struggled with latency, compliance gaps, and limited usability, hindering reporting, forecasting, and operational agility. To support long-term business growth, the company partnered with us to launch a comprehensive data warehouse modernization initiative using Delta Lake, dbt, and Databricks.
Disconnected data sources created delays and inconsistencies across reports
Incomplete or duplicated records lowered trust in dashboards and KPIs
Real-time performance tracking was limited by pipeline lag
Regulatory compliance was at risk due to gaps in PII handling
Reporting performance issues slowed key business decisions
Our Data engineering team has restructured the warehouse using a Medallion architecture to organize data into Bronze (raw), Silver (validated), and Gold (analytics-ready) layers. Automated ingestion pipelines pull data from systems like Salesforce, Stripe, and AWS.
PII is flagged and handled at ingestion, and dbt powers modular transformations across Silver and Gold layers. Business-ready marts (e.g., Customer360, Revenue Reporting) now support self-service tools like Power BI and Tableau. The system is designed for security, scalability, and continuous integration, with role-based access control and full audit logging.
80% faster report loads, with dashboards now loading in under 10 seconds
40% reduction in onboarding time for new datasets and pipelines
70% team adoption of curated data marts for day-to-day reporting
Built-in PII governance ensures GDPR and CCPA compliance