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Technology Lead - Databricks

  • Canada

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Job details

Education
Bachelor’s degree
Experience
At least 4 years of Information Technology experience
Posting language
English
Posted

Original job description

Job Description

Infosys is seeking an experienced Azure Databricks Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong expertise in Azure data services, Databricks, PySpark, and modern data engineering practices to support enterprise analytics and data modernization initiatives.

Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
  • At least 4 years of Information Technology experience
  • Candidate must be located within commuting distance of Mississauga, ON / Calgary, AB / Burnaby, BC or be willing to relocate to one of these areas. This position may require travel.


Preferred Qualifications
  • Design and develop scalable ETL/ELT pipelines using Azure Databricks and PySpark.
  • Build and maintain data ingestion frameworks using Azure Data Factory (ADF).
  • Develop batch and real-time data processing solutions using Spark and Event Hubs.
  • Implement Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Develop data quality, validation, and reconciliation frameworks.
  • Collaborate with business, analytics, and data science teams to deliver data solutions.
  • Implement security, governance, and access controls using Unity Catalog and RBAC.
  • Build CI/CD pipelines and automate deployments for data platforms.
  • Troubleshoot production issues and support ongoing operational excellence.

Preferred Certifications
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Azure Fundamentals (AZ-900)
  • Databricks Certified Data Engineer Associate/Professional

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

Estimated annual compensation range for the candidate based in the below location will be:
Ontario - $ 92740 to $ 123375
British Columbia - $ 90450 to $ 136500


Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
•Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

EEO/About Us

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

More about this job

Responsibilities

Design, develop, and optimize scalable cloud-based data solutions using Azure Databricks and PySpark. Collaborate with cross-functional teams to build data ingestion frameworks and ensure operational excellence through automation and troubleshooting.

Requirements

Requires at least 4 years of IT experience and a bachelor's degree or equivalent. Candidates must be authorized to work in Canada without visa sponsorship and be located near specified office hubs.

Skills

  • Azure Databricks
  • Data Engineering
  • PySpark
  • Azure Data Factory
  • ETL/ELT Pipelines
  • Delta Lake
  • Medallion Architecture
  • Spark
  • Event Hubs
  • Unity Catalog
  • CI/CD
  • Data Quality
  • Cloud Computing
  • RBAC
  • Data Modeling

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Consulting
  • Engineering

Keywords

  • Azure Databricks
  • Data Engineering
  • PySpark
  • Azure Data Factory
  • ETL
  • ELT
  • Delta Lake
  • Medallion Architecture
  • Spark
  • Event Hubs
  • Unity Catalog
  • CI/CD
  • Cloud Solutions
  • Data Analytics
  • RBAC
  • Data Quality
  • Automation
  • Microsoft Azure
  • DP-203
  • AZ-900
  • Data Ingestion
  • Data Processing
  • Scalability
  • Performance Optimization
  • Governance
  • Security
  • Consulting
  • Digital Transformation
  • Information Technology
  • Data Modernization

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