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 workplace.

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.

Solid 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.
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📌 Databricks Architect Ontario
🏢 Xaxis Solutions
📍 Ontario