Principal Azure Databricks Architect
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English · French
- Posted
Original job description
This listing includes English and French.
- Azure, ADLS, ADF, Databricks/Lakehouse
- Java/Scala REST API
- Kafka/MQ
- Python, PySpark & SQL
- Enterprise Data Lake design
- Relational/NoSQL databases
- CI/CD Jenkins, GitHub
- Strong coding & problem-solving skills
- Python APIs/scripting
- Team leadership
- Power BI/BI tools
- Lakehouse/DB FinOps
- Dynatrace/Observability
- AI Agents & MCP
- Retail Banking/Capital Markets experience
More about this job
Responsibilities
Design and architect enterprise Azure data lake and Databricks Lakehouse solutions. Apply strong coding and problem-solving skills to data platforms and integrations, with potential leadership responsibilities.
Requirements
The role calls for expertise in Azure, ADLS, ADF, Databricks, data lake design, programming, APIs, messaging, databases, and CI/CD tools. Additional desired experience includes team leadership, BI tools, FinOps, observability, AI agents, and retail banking or capital markets.
Skills
- Azure
- Azure Data Lake Storage (ADLS)
- Azure Data Factory (ADF)
- Databricks
- Lakehouse Architecture
- Java
- Scala
- REST APIs
- Kafka
- Message Queues
- Python
- PySpark
- SQL
- Enterprise Data Lake Design
- Relational and NoSQL Databases
- CI/CD
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Finance & Accounting
Keywords
- Azure
- ADLS
- ADF
- Databricks
- Lakehouse
- Java
- Scala
- REST APIs
- Kafka
- Message Queues
- Python
- PySpark
- SQL
- Enterprise Data Lake
- Relational Databases
- NoSQL Databases
- CI/CD
- Jenkins
- GitHub
- Python APIs
- Scripting
- Team Leadership
- Power BI
- Business Intelligence
- FinOps
- Dynatrace
- Observability
- AI Agents
- Model Context Protocol (MCP)
- Retail Banking