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Databricks Analyst Jobs in Milton, ON (NOW HIRING)

BDO Canada

Databricks Solution Architect

Toronto, ON

You'll help clients shape their data, analytics, and AI strategies while cultivating trusted relationships with Databricks and Microsoft counterparts to drive co-innovation, joint solutions, and go ...

Databricks

Solutions Architect

Toronto, ON · On-site

Toronto Only As a Solutions Architect at Databricks within the Field Engineering org you will ... Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) * Experience ...

Databricks

Lakebase Sales Specialist

Toronto, ON · On-site

Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational ... Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with ... Experience with data modeling and ELT/ETL tools (e.g., dbt, Airflow, Databricks). * Strong ...

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Databricks Analyst information

Infographic showing various Databricks Analyst job openings in Milton, ON as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Business Analyst (DataBricks/DataLake)

Toronto, ON • On-site

Jay Analytix
See more jobs at Jay Analytixexternal

Full-time

Re-posted 29 days ago

Key responsibilities

  • Elicit, document, and manage business and data requirements for data lake, lakehouse, and analytics initiatives.

  • 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 and cloud data lake platforms, including analyzing source system data and defining data lineage and metadata.

Job description

Business Analyst Databricks & Data Lake

Location: Toronto, ON (Hybrid 3 days onsite per week) Experience: Minimum 8+ years Employment 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