Data Engineer

• Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
• Define enterprise-wide data models, taxonomies, and standards for consistent data usage
• Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications and platforms
• Enable real-time and batch data flows to support operational and analytical systems
• Implement data governance policies covering metadata management, data lineage, access control, and retention
• Define data quality metrics and oversee data cleansing and validation initiatives
• Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)
• Ensure architectures are scalable, secure, and compliant with regulations (e.g., GDPR, CCPA)
• Identify opportunities for data-as-a-service offerings, dashboards, and commercial data products
• Define data licensing, pricing models, and usage tracking mechanisms
• Partner with engineering, data science, and business stakeholders to define data strategy that fuels AI innovation

Data Architect, Data Intelligence

Senior Data Engineer

Senior Data Engineer, AWS

Senior Data Engineer, AI

Data Engineer

Senior Data Engineer