Senior Lead Data & AI Engineer, Enterprise Cloud

Vanguard Group; Toronto; Hybrid; CAD 93,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Flexible hybrid work model

Job summary

Vanguard is seeking a Senior Lead Data & AI Engineer to design and deliver enterprise-scale data and AI solutions across the organization. You will lead data pipelines on Databricks and AWS, shaping governance, automation, and Lakehouse modernization to enable analytics, reporting, and Generative AI initiatives.

This role combines hands-on engineering with solution architecture and leadership, guiding teams, establishing reusable frameworks, and aligning with security and regulatory standards in

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 9-12+ years of experience in Data Engineering, Data Platform Engineering, or Analytics Engineering.
• 5+ years of hands-on experience building enterprise solutions on Databricks.
• Strong expertise in Lakehouse architecture, Delta Lake, Unity Catalog, and modern data engineering patterns.
• Proven experience building large-scale data pipelines using Spark, PySpark, SQL, and Python.
• Deep experience with AWS services supporting Data & AI platforms.
• Experience implementing Delta Live Tables, Lakeflow, Databricks Workflows, and metadata-driven engineering approaches.
• Strong understanding of data modeling, data products, data governance, metadata management, and data quality frameworks.
• Experience with CI/CD, Infrastructure-as-Code, automated testing, and cloud-native engineering practices.
• Demonstrated leadership experience mentoring engineers and leading complex technical initiatives.
• Strong communication and stakeholder management skills.

Responsibilities

• Data Engineering Leadership: Lead the architecture, design, and delivery of enterprise-scale data engineering solutions leveraging Databricks and AWS.
• Databricks & Lakehouse Engineering: Architect and implement modern Lakehouse solutions with Databricks, Delta Lake, Unity Catalog, and cloud-native services.
• Data Platform Modernization: Lead migration to cloud-native data architectures and establish governance, observability, and quality controls.
• AI & Advanced Analytics Enablement: Build AI-ready data foundations and enable generative AI use cases with data products.
• Governance, Security & Data Quality: Implement enterprise-grade governance and automated controls for data validation and monitoring.
• Stakeholder & Team Leadership: Mentor engineers, lead architecture reviews, and translate technical concepts into business value.

Skills

Data engineering leadership

Cloud architecture

Stakeholder mgmt

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

Delta Lake

Unity Catalog

AWS

Job description

Vanguard is seeking a Senior Lead Data & AI Engineer to design and deliver enterprise-scale data and AI solutions across the organization. You will lead data pipelines on Databricks and AWS, shaping governance, automation, and Lakehouse modernization to enable analytics, reporting, and Generative AI initiatives.

This role combines hands-on engineering with solution architecture and leadership, guiding teams, establishing reusable frameworks, and aligning with security and regulatory standards in