Technical Architect - Data
- Canada
- Télétravail
- Publié 1 sept. 2026
- 1 poste
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- Type d’emploi
- Temps plein
- Niveau d’expérience
- Chef d’équipe · 10+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
Résumé du poste
The Technical Architect will lead the design and implementation of data pipelines and architectures for enterprise greenfield projects. They will collaborate with high-energy teams to solve complex data challenges for Fortune 500 companies.
Détails du poste
About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Technical Architect - Data Experience Level: 8+ years Employment type: Full Time Location: Remote (Canada) 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, EventBridge, SNS, IAM Hands-on knowledge and experience in optimizing Spark/PySpark jobs, Database optimizations for Apache Iceberg , ClickHouse 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 at 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.
Ce que vous ferez
The Technical Architect will lead the design and implementation of data pipelines and architectures for enterprise greenfield projects. They will collaborate with high-energy teams to solve complex data challenges for Fortune 500 companies.
Exigences
Requires 8+ years of experience with strong hands-on expertise in SQL, Python, Spark, and a wide array of AWS services. Experience in the FSI sector and familiarity with data governance and virtualization tools is preferred.
Compétences indiquées
- SQL · Souhaitée
- CI/CD · Souhaitée
- Terraform · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- SQL
- Spark
- PySpark
- Python
- Apache Iceberg
- AWS Athena
- Aurora RDS PostgreSQL
- AWS S3
- AWS Glue
- AWS EMR
- AWS Lambda
- Terraform
- CI/CD
- Denedo
- Collibra
- SSIS
Domaines d’emploi
- Data & Analytics
- Technology
- Engineering
- Consulting
- Software
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