Data Engineer

Role: Data Engineer

Location: Toronto, ON

Type: Contract

Rate: CAD65/hr - CAD75/hr

We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in designing, developing, and enhancing enterprise-scale data solutions that enable advanced analytics, data-driven decision-making, and scalable data products. This role requires hands-on expertise in Snowflake, strong cloud engineering capabilities, and experience delivering end-to-end data solutions within investment or asset management environments.

Key Responsibilities

Data Engineering & Solution Design

• Design, develop, and maintain scalable data pipelines, data warehouses, and cloud-based data platforms.
• Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured data.
• Develop high-performance data solutions that support reporting, analytics, and business intelligence initiatives.
• Ensure data platforms are secure, scalable, and aligned with enterprise architecture standards.

Platform & Cloud Engineering

• Leverage cloud-native technologies to build robust and highly available data ecosystems.
• Implement best practices for performance tuning, query optimization, and cost management within Snowflake.
• Partner with engineering teams to evaluate and implement emerging technologies and platform enhancements.
• Support automation, monitoring, and platform reliability initiatives.

Data Governance & DevOps

• Establish and maintain strong data governance, quality, security, and compliance standards.
• Contribute to CI/CD, DevOps, and infrastructure automation practices.
• Monitor data workflows, troubleshoot issues, and proactively resolve platform bottlenecks.
• Drive continuous improvement across data engineering processes and delivery practices.

Stakeholder Collaboration

• Work closely with business stakeholders, analysts, architects, and product teams to understand requirements and deliver efficient technical solutions.
• Translate business needs into scalable data products and actionable insights.
• Provide technical leadership, mentorship, and guidance to junior team members.

Required Qualifications

Must-Have Skills

• 7+ years of experience in Asset Management (mandatory).
• Proven hands-on experience working within the Asset Management or Investment Management domain.
• Strong expertise with Snowflake, including:
• Data Warehousing
• Query Optimization
• Performance Tuning
• Cost Governance
• 7+ years of experience delivering large-scale data engineering and analytics initiatives.
• 5+ years of experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong programming skills in Python, SQL, and exposure to Java or Scala.
• Experience building enterprise data lakes, data warehouses, and data pipelines.
• Expertise with data integration, ETL/ELT frameworks, and data orchestration tools.
• Experience with API design and microservices architecture.
• Strong understanding of modern data architecture and data lifecycle management.

Preferred Technical Skills

• Experience with AWS services such as S3, EC2, EKS, Glue, Athena, Redshift, or similar cloud-native technologies.
• Experience with data visualization and analytics tools such as Power BI or Tableau.
• Exposure to AI/ML-enabled data platforms and modern data stack technologies.
• Familiarity with Hadoop, Oracle, or other enterprise data ecosystems.

Soft Skills

• Excellent communication and stakeholder management skills.
• Strong analytical and problem-solving abilities.
• Ability to influence technical decisions and drive engineering best practices.
• Proven experience working in cross-functional, fast-paced environments.
• Strong leadership, mentoring, and collaboration skills.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.