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

.
Solid expertise in

Databricks Data Engineering, ETL and data pipeline development

.
Solid

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