Responsibilities

• 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...