Global Technical Talent, an Inc. 5000 Company

Data Analyst - ADF + Databricks

Toronto, ON
Hybrid
Posted Oct 9, 2026
1 position

$90–$95 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Lead · 10+ years
Posting language: English
Working hours: 38 hours per week
Office presence: 1 days per week
Seniority: Entry level
Application method: Direct apply is available

Job summary

Develop and manage data pipelines that load data from multiple sources into Databricks using Azure Data Factory and Medallion architecture. Configure Unity Catalog, governance, permissions, Delta tables, and deployment pipelines, while collaborating with stakeholders and leading a small team on technical problem-solving.

Job details

Data Analyst - ADF Databricks Location: Toronto, ON Onsite Flexibility: Hybrid — Thursday and 4th Friday of the month on-site (may change due to business requirements) Contract Details Position Type: Contract Contract Duration: 6 months (with potential for extension; conversion to FTE possible but no opening currently) Pay Rate: C$90.00–C$95.00 / Hour (CAD) Shift / Schedule: 37.5 hours/week, 9:00 AM – 5:00 PM, Monday to Friday Interview Process: 1 interview via Microsoft Teams Job Summary This contractor role sits within the Global Asset Management Technology line of business. Global Asset Management institutional execution is the process by which asset managers carry out large-scale investment transactions on behalf of institutional clients. This involves optimizing trade strategies, ensuring best pricing, minimizing market impact, and adhering to regulatory requirements to achieve efficient and secure execution of investment decisions. The business is currently on a transformation journey and is open to exploring the advanced functionality of Databricks. The successful candidate will work on a daily basis with the Data Engineer Lead and client stakeholders. Key Responsibilities 7 years of experience with ADF, Databricks, and Azure Functions (C#) In-depth development experience with Python/notebook on Databricks/Spark/Pandas Expert working knowledge of Unity Catalog and data governance setup/configuration Experience in loading datasets from various sources using ADF to Databricks with Medallion architecture Experience in converting Databricks workspace from Hive Metastore to Unity Catalog and setting up associated permissions Creating delta table schema/tables with proper design/properties and security permissions DevOps and deployment pipeline using Azure DevOps/GitHub Enterprise for both ADF and Databricks In-depth experience with Azure Entra ID for SSO/RBAC setup In-depth experience working with and deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases Familiar with working in a locked-down Windows environment for a highly regulated industry Ability to work independently and lead a small team Proven ability to work independently with minimum supervision Ability to lead a small team and technical problem-solving sessions Required Skills Proficiency in ADF (Azure Data Factory) — must have Proficiency in Databricks — must have Excellent communication skills Meticulous and detail-oriented Autonomous and able to work independently Works well in a team environment Preferred Skills Nice to have experience with Delta Live Tables Financial Services Industry experience is an asset Previous experience at a financial institution (e.g., previous CIBC experience or experience at another financial institution) Required Experience 7 years of experience with ADF, Databricks, and Azure Functions (C#) 10 years of overall relevant experience Medical, Vision, and Dental Insurance Plans 401k Retirement Fund About the Client This client is a large, full-service multinational financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services, with operations spanning its home Canadian market and significant commercial and investment banking presence in the United States and other global markets, serving millions of clients internationally. The organization employs data engineers, software developers, business analysts, wealth management professionals, and technology specialists who collaborate across cross-functional teams within a structured, collaborative, and purpose-driven culture. The institution is recognized for meaningful commitments to inclusion and diversity, well-developed employee recognition programs, competitive compensation, and structured career development frameworks that make it a strong fit for experienced technology professionals seeking stability and growth in a major financial services environment. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number: 26-11902 Industry: Data & Analytics

What you’ll do

Requirements

Requires 10 years of overall relevant experience, including 7 years with Azure Data Factory, Databricks, and Azure Functions using C#. Candidates should have strong Python, Spark, Unity Catalog, Azure PaaS, identity and access management, and DevOps experience, along with the ability to work independently, communicate effectively, and lead a small team.