Databricks Architect

Xaxis Solutions; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Xaxis Solutions is seeking an experienced Databricks Architect to lead enterprise-scale AWS Databricks platform implementations in Toronto. You will design and deliver scalable Lakehouse, Data Lake and Data Warehouse architectures, and drive data modernization initiatives.

Responsibilities include building Databricks data transformation pipelines, integrating S3 and Lake Formation, mentoring teams, and aligning governance with business goals.

Qualifications

• 12+ years of experience in Data & Analytics.

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.

Skills

Databricks Architecture

AWS Cloud

Spark / PySpark

Data Lakes / Lakehouse design

Data Modeling & Governance

Databricks Unity Catalog

Delta Lake

Data Pipelines / ETL

Leadership & Mentoring

Stakeholder Management

Security & Governance

AI/GenAI awareness

Advanced Analytics

Consulting Skills

AWS Solution Architect Certification

Job description

• 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.
• Strong 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.