• Own and execute Dynatron’s data engineering strategy aligned with business objectives and product roadmaps • Evaluate and adopt emerging data technologies while balancing performance, scalability, and cost • Ensure data platforms are built for long-term sustainability, extensibility, and operational excellence • Lead, mentor, and scale a high-performing data engineering organization • Set clear expectations, drive accountability, and foster a culture of continuous improvement • Oversee the design, implementation, and operation of data warehouses, data lakes, transactional databases, and pipelines • Guide development of ETL/ELT workflows, APIs, real-time data streams, and analytics layers • Partner closely with Data Science and ML teams to enable production-grade AI and ML workflows • Lead execution of data initiatives, ensuring on-time delivery within scope and budget • Establish and monitor KPIs, SLAs, and operational metrics across data systems • Identify opportunities to improve reliability, performance, and developer productivity • Act as a trusted partner to Product, Engineering, Analytics, and Executive leadership • Ensure data platforms adhere to security, privacy, and compliance requirements (SOC 2, PCI, GDPR, CCPA, etc.)