The Data Engineering Lead is a hands‑on technical expert who builds scalable data platforms, data pipelines, automated tools, and reusable data products that expand the organization’s Data & AI capabilities. This role also partners closely with Sales, Marketing, Product, and other business stakeholders to translate opportunities into explicit data solutions and to ensure what we build drives measurable business impact and growth.

Position Responsibilities:

Build scalable data platforms, products, and automation Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks to accelerate AI and analytics value delivery.

Automate, modernize, and improve data pipelines and engineering processes to increase efficiency, reliability, and scalability.

Deliver projects across data ingestion, engineering, visualization, and decision-making.

Own the data domain and strengthen engineering quality.

Serve as a data‑domain subject matter expert and trusted technical advisor.





Build a strong understanding of systems and the data environment by researching, exploring, and testing new data architecture, design ideas, and technologies.

Collaborate with internal and external experts to improve data quality, platform reliability, access, and usability.

Use technical documentation to develop a holistic understanding of the data domain.

Enable analytics through solid data foundations and business context Work with data scientists to turn business requests into high‑value data products and capabilities.

Partner with business teams and data scientists to build, improve, and deliver trusted, analysis‑ready data.

Help develop conceptual/logical data models, curated data layers, or semantic layers with explicit business context.

Partner with the business (Sales/Marketing/Product) and communicate clearly Work with Sales, Marketing, Pro

📌 Lead Data Engineer Director Level Toronto
🏢 Manulife Insurance Malaysia
📍 Toronto