Data Solutions Developer IV

Our client, is seeking a high-performing Data Solutions Developer IV (Senior Data Engineer) to join their enterprise data platform team.

In this senior, high-impact role, you will be a key contributor to the organization’s enterprise data platform strategy, enabling self-serve analytics, scalable data products, and robust data governance across institutional portfolios. Working within a dedicated data platform squad, you will architect, design, and implement secure, scalable, and high-performance data solutions using Snowflake and cloud-native technologies. You will build foundational data capabilities, evaluate integrations for data-as-a-product initiatives, establish DevOps and governance practices, and mentor junior engineers while driving the evolution of modern engineering practices.

Position Title: Data Solutions Developer IV / Senior Data Engineer

Duration: 12-Month Contract (11/02/2026 to 11/01/2027; extension or FTE conversion possible based on business needs)

Advantages
Enterprise Institutional Scope: Play a pivotal architectural role in shaping data-as-a-product capabilities for a world-class institutional asset manager.

12-Month Contract Stability: Secure a full 1-year consulting engagement with high potential for contract extension or conversion to full-time employment.

Modern Cloud Stack: Work directly with cutting-edge cloud technologies, including advanced Snowflake warehouse optimization and AWS serverless data services.

Balanced Hybrid Model: Enjoy a structured hybrid schedule with 3 collaborative days on-site in downtown Toronto and 2 days remote.

Responsibilities
Data Engineering & Architecture: Design and implement end-to-end data pipelines, data lakes, and enterprise data warehousing solutions aligned with the long-term technology vision.

Snowflake & Cloud Optimization: Build scalable data products in Snowflake, focusing on query optimization, warehouse management, and cost governance.

Data Marketplace & Integrations: Evaluate and implement system integrations supporting enterprise data discovery and data-as-a-product paradigms.

DevOps & Data Governance: Establish and enhance automated CI/CD practices to improve developer experience, time-to-market, data quality, reliability, and security standards.

API & Microservice Development: Design and build resilient APIs and microservices to facilitate seamless data flows across core business applications.

Cross-Functional Leadership: Partner with business analysts, data scientists, and product managers to translate complex requirements into scalable technical solutions while mentoring junior team members.

Qualifications
Domain Expertise: 7+ years of experience working within the Asset Management or Institutional Investment domain is mandatory.

Enterprise Data Experience: 7+ years of experience working in data-driven organizations on large-scale, end-to-end data initiatives.

Cloud Platform Depth: 5+ years of hands-on experience building data platforms, applications, and pipelines using cloud-native technologies (AWS, Azure, GCP).

Snowflake Mastery: Deep, practical proficiency with Snowflake ecosystems, including data warehouses, query performance tuning, and cost governance.

Programming Skills: Strong, production-level coding skills in Python, SQL, Java, or Scala.

AWS Services Expertise: Hands-on experience with core AWS data services, including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.

API Architecture: Demonstrated experience designing APIs, microservices, and modern data ingestion/flow management pipelines.

Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline.

Preferred Assets & Nice-to-Haves
Experience with enterprise data visualization platforms such as Power BI or Tableau.

Familiarity with AI-driven data automation, data lineage, and catalog tools.

Summary
If you are a tech-savvy Senior Data Engineer who pairs 7+ years of asset management domain mastery with deep Snowflake expertise, AWS cloud engineering skills, and Python/SQL proficiency, this 12-month hybrid contract in Toronto is an ideal match. Bring your data architecture precision, cloud-native skills, and leadership to our client's data platform team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.