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Data Modernization Jobs in Ontario (NOW HIRING)

Adastra

Game Data Product Owner

Thornhill, ON · Remote

Given the emphasis on data modernization and migration, additional high-priority data domains may also fall within the scope of this role. This leader will partner closely with stakeholders across ...

Kyndryl

Senior Microsoft Technology Advisor

Ottawa, ON · On-site

Architect and design Azure-based solutions that encompass infrastructure, application, and data modernization. * Lead application transformation initiatives, including re-platforming, re-hosting, and ...

BMO Capital Markets

Lead Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Lead migration and modernization initiatives from Ab Initio/onprem platforms to AWS-native solutions * Design scalable data ingestion, transformation, and orchestration patterns using AWS services

BDO Canada

Databricks Solution Architect

Toronto, ON

... data modernization journeys. Key Responsibilities Client Engagement & Partnership Development * Build and maintain trusted relationships with client technical and business stakeholders, acting as a ...

Moneris

Manager, Data Engineering

Toronto, ON · Hybrid

CA$124K - CA$160K/yr

This role owns execution of the data platform roadmap, including the Snowflake migration and modernization of legacy Enterprise Data Warehouse (EDW) systems, while partnering with architecture ...

McKesson

Sr. Delivery Solution Architect

Mississauga, ON · On-site +1

Experience supporting AI/ML, advanced analytics, and data modernization initiatives. * Experience with Databricks Lakehouse Platform, Delta Live Tables (DLT), Unity Catalog, and PySpark. * Knowledge ...

Electric Mind

Advisory Consultant

Toronto, ON · On-site

Contribute to practice development through knowledge assets, methodologies, and thought leadership (e.g., T+1, data modernization, regulatory change) About Electric Mind Electric Mind is a fast ...

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Showing results 21-40

All JobsData Modernization JobsData Modernization Jobs in Ontario

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Ontario?

For Data Modernization jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Ontario look for?

The top searched job categories for Data Modernization jobs in Ontario are:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Business Analyst (DataBricks/DataLake)

Jay Analytix

Toronto, ON • Hybrid

Contractor

Re-posted 6 days ago

Job description

Business Analyst - Databricks & Data Lake

Location: Toronto, ON (Hybrid - 3 days onsite per week)Experience: Minimum 8+ yearsEmployment Type: Full-Time / Contract (as applicable)

About the Role

We are seeking an experienced Business Analyst with strong hands-on exposure to Databricks and modern Data Lake / Lakehouse platforms to join our Toronto-based team. In this role, you will act as the bridge between business stakeholders and data engineering teams - gathering requirements, defining data mappings and transformation logic, and driving the delivery of large-scale data platform and migration initiatives. The ideal candidate combines deep business analysis fundamentals with practical knowledge of cloud data ecosystems.

Key Responsibilities
  • Elicit, document, and manage business and data requirements for data lake, lakehouse, and analytics initiatives, translating them into functional and technical specifications
  • Work closely with data engineers, architects, and platform teams to define source-to-target mappings, data transformation rules, and data quality requirements
  • Support the design and delivery of solutions on Databricks (Delta Lake, notebooks, workflows, Unity Catalog) and cloud data lake platforms (Azure Data Lake Storage, AWS S3, or GCP)
  • Analyze and profile source system data to assess quality, completeness, and fitness for migration or integration
  • Define and document data lineage, business glossaries, and metadata to support data governance initiatives
  • Develop and execute test plans, including UAT coordination, data validation, and reconciliation between legacy and target platforms
  • Create process flows, user stories, use cases, and acceptance criteria within Agile delivery frameworks
  • Facilitate workshops and requirement sessions with business users, product owners, and technical teams
  • Support prioritization and backlog management with product owners; track requirements through to delivery
  • Produce clear documentation and communicate findings, risks, and recommendations to both technical and non-technical stakeholders
Required Qualifications
  • 8+ years of experience as a Business Analyst, with significant time spent on data-focused projects (data platforms, data warehousing, migrations, analytics)
  • Hands-on experience with Databricks - working with notebooks, Delta Lake tables, and understanding of Lakehouse architecture concepts
  • Strong understanding of Data Lake concepts and cloud data platforms (Azure preferred; AWS or GCP also considered) - data ingestion, storage layers (raw/curated/consumption), and data pipelines
  • Proficiency in SQL for data profiling, analysis, and validation; ability to read/interpret PySpark or Python code an asset
  • Experience creating source-to-target mapping documents, data dictionaries, and transformation specifications
  • Solid grasp of data governance, data quality, and metadata management practices
  • Experience with Agile methodologies and tools (Jira, Confluence, Azure DevOps)
  • Strong analytical, problem-solving, and critical-thinking skills with high attention to detail
  • Excellent communication, facilitation, and stakeholder management skills across business and technical audiences
  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field
Nice to Have
  • Experience in financial services, banking, or insurance data environments
  • Familiarity with data modeling concepts (dimensional modeling, medallion architecture)
  • Exposure to BI and analytics tools (Power BI, Tableau) and how they consume lakehouse data
  • Knowledge of ETL/ELT tools (Azure Data Factory, Informatica, dbt)
  • Understanding of data privacy and regulatory requirements (PIPEDA, GDPR) as they relate to enterprise data
  • Certifications such as CBAP, PMI-PBA, Azure Data Fundamentals (DP-900), or Databricks Lakehouse Fundamentals
Why Join Us
  • Contribute to high-visibility data modernization initiatives on a leading Lakehouse platform
  • Hybrid work model based in downtown Toronto
  • Collaborative environment working alongside data engineering, governance, and business teams
  • Competitive compensation and benefits package
Employment Type: CONTRACTOR

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