Lead the design and development of high‑throughput data platforms and pipelines supporting operational, analytical, and AI‑driven workloads
Collaborate with business and technology stakeholders to identify data sources, map end‑to‑end data flows, and uncover opportunities for new data acquisition and innovative uses of existing data
Design, build, test, and maintain scalable and secure data management systems, integrating modern data and AI‑enabling technologies into existing enterprise architectures
Develop and operate robust ETL/ELT pipelines to ingest internal and external data into EllisDon’s cloud‑based data lake and data warehouses
Enable AI and advanced analytics use cases by preparing high‑quality, well‑governed datasets suitable for machine learning, large language models (LLMs), and other intelligent applications
Apply AI‑assisted techniques to improve data engineering workflows, such as automat...