Senior Databricks Architect
Summary
Senior Databricks Architect responsible for designing and implementing enterprise-scale cloud data platforms, data lakes, and AI/ML solutions using Databricks, PySpark, and Azure services for client engagements.
Hiring: Senior Databricks Architect – Winnipeg, MB
Location: Winnipeg, Manitoba, Canada
Role: Senior Databricks Architect
Mandatory Skills
- Databricks
- PySpark
- Databricks Agent Bricks
Key Responsibilities
- Design and implement secure, scalable, highly available cloud-based data solutions.
- Lead enterprise-scale Databricks data platform architecture and implementation.
- Define data architecture strategy, platform roadmap, and release planning.
- Drive Databricks adoption and modernization initiatives.
- Design and implement Data Lakes, Data Warehouses, and AI/ML platforms.
- Implement Databricks Agent Bricks for domain-specific AI agents.
- Integrate Databricks Genie and AI/BI capabilities for natural-language analytics.
- Work with Azure Databricks, ADF, Azure Synapse, Azure Data Lake, and PySpark.
- Build automated Azure DevOps pipelines and Databricks workflows.
- Integrate multiple data sources into enterprise Data Lakes and Data Warehouses.
- Define data models, architecture standards, cloud governance, and best practices.
- Identify automation opportunities to improve operational efficiency.
- Work directly with clients to translate business requirements into technical solutions across Azure and AWS.
- Provide technical leadership and clearly communicate technology/platform trade-offs.