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Added 1 min ago
AI Platform Engineer - DevOps
Tekgence Inc
Halifax, NS
Contract
…production? If so| youve come to the right place.We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application…
Added 1 min ago
Logistic Coordinator
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Full-time
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Intercultural Program Coordinator - Appendix D / Temporary Assignment
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Assistant Project Manager
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TheCorporate

Databricks Architect

ON, Canada
Ontario, Canada, Canada

Job type: Contract
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Databricks Architect

Hybrid - Toronto ON

Contract Role

Must Have Skills

a. ADLS

b. Databricks

c. Java, Scala based Rest API

d. Kafka-MQ

Good to Have

Python based API, Python scripting, experience leading small teams

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

Apply About employer

More about this job

Responsibilities

Design and set up enterprise data lakes and deliver robust data solutions using Azure, Databricks, and related technologies. Collaborate with stakeholders to understand requirements, independently develop complex code, troubleshoot issues, and potentially lead small teams.

Requirements

Requires strong expertise in Azure, ADLS, Databricks, SQL, and programming with Java, PySpark, or Python, along with experience using relational or NoSQL databases. Kafka-MQ, CI/CD, observability tools, and problem-solving skills are also relevant; BI tools, Power BI, AI agents, MCP, and financial-services experience are advantageous.

Skills

Azure
Azure Data Lake Storage
Databricks
Java
Scala
REST APIs
Kafka
Python
PySpark
SQL
Azure Data Factory
CI/CD
Jenkins
GitHub
Dynatrace
Data Lakehouse Architecture

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Lakehouse
Enterprise Data Lake
Java
Scala
REST APIs
Kafka-MQ
Python
PySpark
SQL
Relational Databases
NoSQL Databases
CI/CD
Jenkins
GitHub
Dynatrace
FinOps
Cognos
Power BI
Sigma
Strategy
AI Agents
MCP
Retail Banking
Capital Markets
Securities Processing

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