Senior Databricks Architect

Location: Winnipeg, Manitoba, Canada

Work Arrangement: City: Toronto, District/Area: North York, Province: Ontario (ON) , Country: Canada

Job Type: Subcontractor Role

Important: This is a fully onsite role. Candidates must be local to Winnipeg, Manitoba, Canada.

Mandatory Technologies

Databricks

PySpark

Azure DevOps

Databricks Genie

Agent Bricks

Job Responsibilities

- Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions.
- Experience in enterprise adoption to ensure the integration of up-to-date, AI-driven capabilities and align architecture with key business outcomes.
- Lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks.
- Develop overall data architecture strategy, release planning, and platform roadmap while partnering closely with customer stakeholders to accelerate Databricks adoption and modernization initiatives.
- Provide strong technical leadership and customer-facing communication, with the ability to drive solutions from strategy through execution.
- Experience in implementing Agent Bricks to enable high-quality,



domain-specific AI agents that automatically refine performance using enterprise data.
- Experience in creating data warehouses and data lakes for reporting, AI, and machine learning.
- Integrate Genie and AI-BI tools to enable natural-language analytics within Databricks One and the broader AI/BI suites.
- Experience with Azure Databricks, ADF, Azure Synapse, and PySpark.
- Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation.
- Experience integrating different data sources with Data Warehouses and Data Lakes.
- Strong understanding of data modeling and data architecture concepts.
- Ability to clearly articulate the pros and cons of various technologies and platforms.
- Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud.
- Define and implement cloud governance and best practices.
- Identify and implement automation opportunities to increase operational efficiency.

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