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Databricks Architect

  • ON, Canada
  • Ontario, Canada, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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

  •  
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

Categories

  • Technology
  • Data & Analytics
  • Software
  • Finance & Accounting

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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