Key Requirements

- 12+ years of experience in Data & Analytics.

- 5+ years of hands-on Databricks Architecture experience.

- Must have delivered at least one end-to-end Databricks implementation

.

- Strong expertise in

Databricks Data Engineering, ETL and data pipeline development

.

- Strong

AWS Cloud experience; AWS is the primary client environment.

- Hands-on experience with

AWS S3, Redshift, Lake Formation and related data services.

- Solid

Apache Spark / PySpark expertise.

- Experience designing

Data Lakes, Data Warehouses and Lakehouse solutions.

- Strong understanding of

Data Modeling, Data Architecture, Metadata, Governance and Data Quality

.

- Experience with

Databricks Unity Catalog and Delta Lake

.

- Exposure to

Mosaic AI, Databricks Genie and Agent Bricks

.

- Experience with

AI/GenAI, Data Modernization and Advanced Analytics is preferred.

- Strong consulting, stakeholder management and communication skills.





- Excellent problem-solving and delivery mindset.

- AWS Solution Architect Certification is preferred.

Responsibilities

- Lead architecture and implementation of enterprise-scale

AWS Databricks platforms

.

- Design scalable and secure

Lakehouse, Data Lake and Data Warehouse architectures.

- Build and optimize Databricks data transformation and pipeline solutions.

- Integrate

AWS S3, Lake Formation, DevOps pipelines and Databricks workflows

.

- Drive data and AI platform modernization initiatives.

- Implement

Databricks Genie, AI/BI and Agent Bricks capabilities.

- Define architecture strategy, governance, security and technical standards.

- Lead architecture reviews and mentor engineering teams.

- Partner with business and technical stakeholders to deliver enterprise solutions.

📌 Databricks Architect (North York)
🏢 Xaxis Solutions
📍 North York