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 .

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.

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📌 Databricks Architect (Winnipeg)
🏢 Xaxis Solutions
📍 Winnipeg