The role involves providing technical leadership for data engineering and machine learning migration initiatives. The individual will design and implement data pipelines and workflows while overseeing the migration of legacy workloads to modern platforms. Responsibilities include defining coding, testing, and performance standards to ensure high-quality delivery. The position requires mentoring data engineers and promoting best practices across the team. Furthermore, the role involves collaborating with architects and delivery leads to maintain security and compliance standards.

The role requires 10 to 14 years of experience in data engineering or advanced analytics. Candidates must possess strong hands-on expertise in Python, SQL, Azure ML, and Databricks or Data Lakes. Proven experience leading large-scale data platform migrations is necessary. Additionally, the position requires strong architectural and problem-solving capabilities along with the ability to work in complex, multi-vendor enterprise environments.