Databricks Architect
Offre en anglaisThe role involves designing and implementing end-to-end Databricks solutions and developing data transformation pipelines. The architect will lead data modernization efforts using Lakehouse architectures and advanced analytics within the insurance domain.
- Hybride
- Toronto, ON
- Publié 19 août 2026
- Postuler avant le 18 sept. 2026
- 1 poste
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Résumé du poste
Role: Senior Databricks Architect Client: Insurance Domain Location: North York, ON, Canada Work Model: Hybrid – 3 days per week in the office Candidates must be available to work from the office from Day 1 Rate: CAD / Hourly basis (available on T4 or Contract or C2C) We need candididates who have strong hands-on Databricks + AWS experience and are comfortable working onsite 3 days per week from Day Key Technical Experience: We are looking for a Senior Databricks Architect with strong hands-on experience in: Databricks Data Engineering with at least one end-to-end Databricks implementation Data Transformation and Pipeline Development AWS Cloud Platform and AWS data services Amazon S3, Redshift, Lake Formation, etc. Apache Spark / PySpark Enterprise Data Engineering Data Lakes, Data Warehouses and Lakehouse architectures Problem-solving and end-to-end solution delivery Preferred Experience: 12+ years of experience in Data & Analytics 5+ years of Databricks Architecture experience Experience with Databricks Unity Catalog, Delta Lake, Mosaic AI, Genie and Agent Bricks Experience in AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics Strong consulting and stakeholder management experience AWS Solutions Architect certification is preferred APPLY NOW!
Ce que vous ferez
The role involves designing and implementing end-to-end Databricks solutions and developing data transformation pipelines. The architect will lead data modernization efforts using Lakehouse architectures and advanced analytics within the insurance domain.
Exigences
Requires over 12 years of experience in Data & Analytics with at least 5 years specifically in Databricks Architecture. Strong hands-on expertise in AWS cloud services and PySpark is essential, and an AWS Solutions Architect certification is preferred.
Compétences indiquées
- Amazon Web ServicesSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Databricks
- AWS
- Apache Spark
- PySpark
- Data Engineering
- Lakehouse Architecture
- Unity Catalog
- Delta Lake
- Mosaic AI
- GenAI
- Amazon S3
- Amazon Redshift
- Lake Formation
- Data Modernization
- Stakeholder Management
Domaines d’emploi
- Data & Analytics
- Technology
- Consulting
- Software
- Engineering
Renseignements supplémentaires
- Expérience minimale
- 12+ ans
- Postuler avant le
- 18 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte