8 days ago
Toronto, CanadaStaff+
Base Salary
$165k - $200k/yr
Responsibilities
- Lead the architecture, design, and delivery of enterprise-scale data engineering solutions using Databricks and AWS.
- Build scalable batch, streaming, and event-driven data pipelines and reusable metadata-driven engineering frameworks.
- Architect and implement Lakehouse solutions using Delta Lake, Unity Catalog, Delta Live Tables, Lakeflow Pipelines, and Databricks Workflows.
- Modernize legacy data platforms and implement observability, monitoring, lineage, metadata management, quality controls, CI/CD, Infrastructure-as-Code, automated testing, and DevSecOps practices.
- Build AI-ready data foundations supporting machine learning, Generative AI, vector search, semantic models, RAG, and agent-based solutions.
- Implement governance, security, privacy, regulatory, data validation, and operational monitoring controls.
- Mentor data engineers and platform teams, lead architecture reviews and design workshops, and advise technical and business stakeholders.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related discipline.
- 9-12+ years of experience in Data Engineering, Data Platform Engineering, or Analytics Engineering.
- At least 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.
- Experience building large-scale data pipelines with Spark, PySpark, SQL, and Python.
- Deep experience with AWS services supporting Data & AI platforms.
- Experience with 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 experience mentoring engineers and leading complex technical initiatives.
- Strong communication and stakeholder management skills.
Benefits
- Hybrid working model for the majority of crew members, combining flexibility with in-person collaboration and learning.
- Comprehensive health insurance, accident insurance, life insurance, and retirement savings plans.
- Potential performance-based incentives, discretionary bonuses, and other perks.
- Compensation may be pro-rated for part-time roles based on regularly scheduled hours.
Tech Stack
Categories
Data Engineering
About Vanguard
Vanguard is an investment management company offering low-cost index and active mutual funds, ETFs, brokerage, retirement plans, and financial advice for individual, institutional, and advisor clients. Founded in 1975 by John C. Bogle and headquartered in Valley Forge, PA, it operates a client-owned structure in which its funds own the firm. Its business model centers on asset-based management and advisory fees.