Work Arrangement: 5 Days Onsite – Work from Office
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 modern, 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.
- Robust 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.