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Principal Azure Databricks Architect
- Toronto, ON, Canada
Contract
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The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Role : Principal Azure Databricks Architect
Location : Toronto, ON (Hybrid)
Must Have Skills
- ADLS
- Databricks
- Java, Scala based Rest API
- Kafka-MQ
Good to Have
Python based API, Python scripting, experience leading small teams
Job Description/ Responsibilities:
- Design and setting up enterprise data lake
- Strong on Azure DB, ADLS
- SQL knowledge is a must
- Strong Expertise in Azure(ADF/ADLS), Databricks, Python, Pyspark, SQL, CI-CD (Jenkins, Github), Obs (Dynatrace)
- Expertise on Lakehouse/DB finops
- Working experience with relational and/or NoSQL DB's is a must
- Programming experience (preferably Java/Pyspark/Python) is a must
- Experience with 1 or more BI Tools (Cognos/Power BI/ Sigma/ Strategy) is a plus
- Able to write the complex code and fix the issues
- Should have strong problem solving capability
- Collaborate with stakeholders to understand requirements and deliver robust solutions independently
Nice to have : Exposure to PowerBI dashboard development, AI experience - building agents and skills, understanding of MCP is a plus, Dynatrace
Functional experience of Retail Banking, capital markets, securities processing will be advantage.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
More about this job
Responsibilities
Design and establish enterprise data lakes and lakehouse solutions using Azure, ADLS, and Databricks. Develop and troubleshoot complex data solutions, collaborate with stakeholders, and deliver robust implementations independently.
Requirements
Requires strong expertise in Azure, ADLS, Databricks, SQL, and programming with Java, PySpark, or Python, along with experience using relational or NoSQL databases. Strong problem-solving skills are required; experience with CI/CD, BI tools, team leadership, banking or capital markets, AI agents, and MCP is advantageous.
Skills
- Azure
- Azure Data Factory
- Azure Data Lake Storage
- Azure Databricks
- SQL
- Python
- PySpark
- Java
- Scala
- REST APIs
- Kafka
- CI/CD
- Jenkins
- GitHub
- Dynatrace
- Data Lakehouse Architecture
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Finance & Accounting
Keywords
- Azure
- Azure Data Factory
- Azure Data Lake Storage
- Azure Databricks
- Enterprise Data Lake
- Lakehouse
- FinOps
- SQL
- Python
- PySpark
- Java
- Scala
- REST APIs
- Kafka
- Relational Databases
- NoSQL Databases
- CI/CD
- Jenkins
- GitHub
- Dynatrace
- Cognos
- Power BI
- Sigma
- Strategy
- AI Agents
- Model Context Protocol
- Retail Banking
- Capital Markets
- Securities Processing