• Own the end-to-end architecture of the data migration platform, from ingestion through validation to production deployment • Design migration infrastructure that reduces per-customer engineering effort through reusable components and standardized patterns • Build systems that evolve migrations from engineer-led to standardized and self-service • Establish automated data quality frameworks including profiling, validation, and anomaly detection • Instrument migration systems with dashboards, metrics, and alerts for observability and continuous improvement • Architect self-service import workflows for customers and internal teams • Design ingestion pipelines that align tightly with Hibernate entity models and lifecycle rules • Build intelligent error handling and feedback loops that guide non-technical users through data correction • Create Excel-based import templates with embedded validation, documentation, and formatting standards • Maintain alignment with application changes by tracking Hibernate model evolution and updating pipelines proactively • Design, build, and maintain ETL pipelines for migrating data from legacy waste management systems • Analyze legacy datasets, reverse-engineer business logic, and implement transformation workflows • Execute end-to-end customer migrations in coordination with technical and business stakeholders • Build tooling to ingest data from legacy LAN-based systems common in the industry • Optimize pipeline performance to handle large datasets efficiently and reduce migration timelines • Drive technical decisions for data infrastructure, including build vs. buy evaluations • Partner with Product, Engineering, and Customer Success to shape scalable solutions • Mentor team members on data integration and migration patterns • Create and maintain documentation, runbooks, and operational guides • Lead code reviews and knowledge sharing to raise the bar across the team