SeniorDataEngineer

We’re looking for a talented and experienced Senior Data Engineer to join our team and help design, build, and scale modern data platforms. In this role, you’ll lead the development of robust data pipelines, optimize data architecture, and ensure high-quality, reliable data flows across systems. You’ll collaborate closely with product managers, software engineers, analysts, and business stakeholders to translate complex requirements into scalable data solutions that power reporting, analytics, and decision-making. If you’re passionate about clean, efficient data models, resilient ETL/ELT processes, and building infrastructure that turns raw data into actionable insight, we’d love to hear from you. This position is a full-time role. We are 100% remote but candidates must reside and be authorized to work in the United States. RESPONSIBILITIES - Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements - Support modernization and migration of legacy data systems to cloud-native architectures - Build and maintain high-quality, scalable data pipelines with strong observability and reliability - Combine data from multiple sources to create comprehensive, trusted data assets - Set up cloud compute and storage (AWS, Azure, SaaS/PaaS, SSO) based on project requirements - Design and implement centralized Data Hubs supporting AI/ML, KPI dashboards, SSO, and integrations across platforms (e.g., MarTech, eCommerce, EdTech, DXP, learning systems) - Develop reusable components for ingesting, normalizing, transforming, and serving data (DWH, reporting, dashboards, AI/ML use cases) - Implement lightweight, effective data modeling strategies focused on performance and maintainability - Ensure high availability, data quality, observability, governance, and cataloguing best practices REQUIRED - 10+ years of experience in data engineering, data platforms, BI engineering, and/or data architecture - Proven experience with end-to-end data management,