Data Engineer

• Architect Our Data Foundation by designing and implementing a unified data architecture that creates a cohesive business intelligence platform
• Build automated ETL pipelines using SQL and Python to eliminate manual data reconciliation processes
• Establish data governance frameworks and quality standards that ensure accuracy and consistency across all business metrics
• Create scalable data models that support both operational reporting and strategic forecasting needs
• Integrate Financial and Operating data systems to create comprehensive performance management and forecasting capabilities
• Build real-time dashboards and reporting systems using Tableau and related dashboarding capabilities that provide actionable insights to leadership
• Design attribution models that accurately track customer journey economics from lead acquisition through renewal
• Create self-service analytics platforms that empower teams to access reliable business intelligence without technical or manual dependencies
• Develop predictive models and forecasting algorithms using Python and SQL to support strategic planning
• Build automated anomaly detection systems to catch critical business metric changes
• Establish data lineage and documentation standards that ensure transparency and auditability across all systems
• Optimize Performance & Scalability by leveraging Snowflake data warehousing capabilities to handle increasing data volume
• Implement cloud-based data processing workflows using AWS/GCP that support real-time and batch analytics requirements
• Design API integrations that seamlessly connect our data architecture with existing and future SaaS tools
• Create automated testing and monitoring frameworks that ensure data pipeline reliability and performance

Business Data Architect

Data Engineer

Lead Data Architect – Databricks

Junior Data Engineer

Data Engineer