Lead Quantitative Snowflake Developer

Everforth CyberCoders is a leading recruitment company specializing in connecting talented professionals with top-tier employers in various industries including technology, finance, and engineering. The firm is recognized for its commitment to diversity and equal opportunity, providing accessible career opportunities across North America and beyond. Known for their advanced recruitment technology, including AI screening and virtual recruitment processes, CyberCoders ensures a smooth and efficient hiring experience for candidates and employers alike. With its headquarters in the United States and a global reach, the company serves a broad spectrum of clients and job seekers, facilitating successful career matches in competitive markets.

The Lead Quantitative Snowflake Developer role is an exciting opportunity based in Montreal, QC. This hybrid position requires onsite presence four days a week for the first 90 days, transitioning to three days onsite thereafter. This role is designed for a highly skilled data engineering professional who will lead the design, development, and optimization of Snowflake-based data platforms that support quantitative analytics and trading research. As the technical lead, the candidate will be responsible for building scalable architectures, implementing efficient ELT/ETL pipelines using dbt, and coding robust Python and SQL solutions to manage time-series and event-driven datasets.

The successful candidate will be a key player in driving the engineering efforts that power analytics and modeling platforms critical to the firm's quantitative teams. This includes collaborating with quantitative researchers, data scientists, and other engineers to translate complex research requirements into practical data models and pipelines. They will be instrumental in ensuring platform performance by optimizing query execution, implementing clustering and partitioning strategies, and managing storage for large-scale datasets. In addition to hands-on development, leadership responsibilities include mentoring junior engineers, enforcing coding and architectural best practices, and fostering a culture of data quality and reliability.

This position offers the chance to work with cutting-edge technologies such as Snowflake, dbt, Airflow, and cloud platforms including AWS, GCP, or Azure. It also involves establishing robust data governance, automated testing, continuous integration, and delivery processes to maintain high standards of data lineage and quality. The role is ideal for someone with a strong background in data engineering, deep expertise in Snowflake, and a passion for quantitative finance or analytics. Moreover, the role features a highly collaborative work environment where the candidate will engage with various teams to support ad-hoc analysis, performance troubleshooting, and cross-functional improvements.

Overall, this role is tailored for a seasoned technical leader with 5+ years of experience in data platform development and at least 3 years focused on Snowflake within production environments. Candidates should bring advanced SQL and Python coding skills, experience with dbt transformations and CI/CD pipelines, and a strategic mindset towards managing performance and costs. The position also highlights the importance of communication and leadership skills to effectively guide teams and interface with cross-disciplinary stakeholders. This is an outstanding career opportunity for professionals eager to lead innovation in quantitative data engineering while working in a flexible hybrid setting in one of Canada’s vibrant tech hubs.