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 DataOps
- 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 DataOps 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 (Canada)
🏢 Ju0026M Group
📍 Canada