QuantiphiVerified Job Source

AWS Data Architect

Canada
Hybrid
Posted Sep 18, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

The role involves designing and optimizing data architectures and pipelines using AWS services and Spark. The architect will collaborate with high-energy teams to solve complex challenges for Fortune 500 companies.

Job details

About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Role: Associate Technical Architect - Data Employment type: Full Time Location: Remote Canada; Candidates located within a 50-mile radius of Quantiphi’s office in Toronto, CA are expected to work in a 3 day a week hybrid setup. Required Skills: · Strong hands-on knowledge in SQL (Analytical queries, Window functions, Stored procedures), Spark/PySpark, Python, Apache Iceberg · Strong knowledge in AWS services - Athena, Aurora RDS PostgreSQL, S3, CloudWatch, Glue Catalog, EMR, Lambda, SQS, Event Bridge, SNS, IAM · Hands-on knowledge and experience in optimizing Spark/PySpark jobs, Database optimizations for Apache Iceberg, Click House and Aurora PostgreSQL · Telco Mobile networks knowledge is preferable but not mandatory. Other Qualifications: · Experience of working on enterprise greenfield projects that have Application development workload as well. · Experience of working for customers/workloads in the FSI sector domain with use cases. · Experience in building data pipelines integrating with data virtualization tools like Denedo & data governance tools like Collibra. · Exposure to SSIS. · Exposure to IaC tools like Terraform and to CI/CD tools. What is in it for you: ● Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact on a scale. ● Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. ● Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. ● Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

What you’ll do

Requirements

Requires strong hands-on expertise in SQL, Python, PySpark, and various AWS data services. Experience with enterprise greenfield projects, FSI sector use cases, and IaC tools like Terraform is preferred.