Head of Data Engineering & Platform

Responsibilities

• Build, lead, and develop a high-performing team of senior data and analytics engineers responsible for core data infrastructure.
• Define and execute the long-term data platform strategy, including architecture, tooling, and reusable data products for analytics, AI, operational systems, and self-service.
• Build a platform that makes data discoverable, understandable, and reusable by people and AI systems through semantic models, metadata, and developer tooling.
• Establish a trusted, resilient data platform through best practices for reliability, observability, data quality, governance, privacy, security, and regulatory compliance.
• Partner with Engineering, Product, Data Science, Security, and Infrastructure leaders to accelerate product development, business operations, and decision-making.

Requirements

• 10+ years of relevant experience, including 5+ years leading data or engineering teams.
• Experience architecting modern data platforms at scale, including data foundations, semantic layers, metadata, and platform capabilities supporting analytics, AI, machine learning, and operational systems.
• Technical judgment and organizational influence to evolve data architecture through rapid growth while balancing long-term platform investments with near-term product needs.
• Deep expertise in modern data infrastructure, including data modeling, orchestration, streaming, storage systems, metadata, and governance.
• Experience partnering with Security, Legal, Compliance, and Privacy teams to meet the privacy, security, and regulatory standards expected of a regulated financial institution.

Compensation and Benefits

• Total rewards include base salary, equity (stock options/RSUs), and benefits.
• US employees: $289,700–$362,100 base salary.
• Canadian employees: CAD $273,800–$342,200 base salary.
• Offers vary based on experience, expertise, geographic location, and internal pay equity.