We are hiring for a Data & Analytics Solutions Architect AWS & Databricks This role focuses on designing enterprise data platforms, Lakehouse architectures, and AI-driven analytics solutions on AWS.

The ideal candidate has 14+ years of experience in data architecture, Databricks, data engineering, and cloud modernization.

What you bring 14+ years of experience in Enterprise Data Architecture, AWS, Databricks, and Cloud Modernization Robust expertise in AWS Data Services, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL Experience designing Lakehouse architectures and enterprise data platforms Knowledge of Databricks SQL, Workflows, Lakeflow, MLflow, and performance optimization Experience with ETL/ELT, batch and streaming pipelines, APIs, and Data

Ops Knowledge of data governance, security, compliance, and responsible AI Experience with HLD/LLD, migration planning, architecture reviews,



and technical governance Understanding of BFSI regulatory and compliance requirements Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline What you'll do Design end-to-end AWS and Databricks data and AI architectures Build scalable Lakehouse, data ingestion, and analytics solutions Develop AI-driven analytics using Databricks Genie and semantic models Establish data governance, security, and observability standards Lead cloud modernization, migration, and platform optimization Drive architecture reviews, technical standards, and Data

Ops practices Collaborate with engineering teams and stakeholders on solution delivery Support technical presentations, effort estimation, and client workshops Mentor engineers and develop reusable architecture frameworks Nice to have - Certifications in AWS, Databricks, Data Engineering, Enterprise Architecture, Security, or AI/ML

📌 Data & Analytics Solutions Architect (Toronto)
🏢 J M Group
📍 Toronto