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Principal Data Engineer – Databricks
Staffmax
Toronto, ON
- Temporary
Work Arrangement: Onsite / 4 Days in Office
Added 1 month ago
Appian Technical Lead
Staffmax
Toronto, ON
Added 1 month ago
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French Bilingual- Claims Examiner
Staffmax
Winnipeg, MB
- $23.19 CAD / hour
- Temporary
Work Style: In office training full-time 1-2 months until training is complete – Then Hybrid – 2 days per week
Added 1 month ago
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Class 1 Flat Deck Driver
Staffmax
MB
- $26.27 CAD / hour
Added 1 month ago
Appliance Delivery Driver (Class 3)
Staffmax
Montréal, QC
Schedule: 3 days per week, approximately 13 hours per day, including potential Saturdays · Typical schedule is 3 days per week, approximately 13 hours per day
Added 1 month ago
S
Elevator Modernization & Repair Mechanic
Staffmax
Canada
- Up to $70 CAD / hour
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Boom truck Driver
Staffmax
Headingley, MB
- $30 CAD / hour
- Temporary
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Sales Development Representative
Staffmax
Winnipeg, MB
- $50,000 CAD / year
Added 1 month ago
Bilingual Pharmacy Rollout Specialist / Implementation Specialist
Staffmax
ON
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Bilingual Telecom Civil / Drafting Engineer
Staffmax
Montréal, QC
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Purchasing & Inventory Control Clerk
Staffmax
Winnipeg, MB
- $25 CAD / hour
Added 1 month ago
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Mobile Trailer Technician – Delta
Staffmax
Delta, BC
- $32 to $40 CAD / hour
Shift: Night Shift · Schedule: Monday–Thursday, 4 days per week
Added 1 month ago
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Mobile Trailer Technician – Calgary
Staffmax
Calgary, AB
- $32 to $40 CAD / hour
Shift: Night Shift · Schedule: Monday–Thursday, 4 days per week
Added 1 month ago
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Licensed Trailer Technician– Edmonton
Staffmax
Edmonton, AB
- $25 to $35 CAD / hour
Shift: Night Shift · Schedule: Monday–Thursday, 4 days per week
Added 1 month ago
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Licensed Trailer Technician – Red Seal / Journeyman – Winnipeg
Staffmax
Winnipeg, MB
- $25 to $35 CAD / hour
Shift: Night Shift · Schedule: Monday–Thursday, 4 days per week
Added 1 month ago
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Mobile Trailer Technician – Moncton- New Brunswick
Staffmax
Moncton, NB
- $25 to $30 CAD / hour
Added 1 month ago
Executive Assistant – Mining Industry
Staffmax
Toronto, ON
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Temporary HS Coding Specialist – ERP & Trade Compliance
Staffmax
Winnipeg, MB
- $25 CAD / hour
- Temporary
Added 1 month ago
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Reception & Accounting Assistant
Staffmax
Winnipeg, MB
- $17 CAD / hour
- Temporary
Added 1 month ago
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Atlassian Guard - Senior - Technical Lead
Staffmax
Vancouver, BC
- Temporary
Added 1 month ago
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AI Architect- Hybrid
Staffmax
Toronto, ON
- Temporary
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Dynamics 365 Lead Developer
Staffmax
Montréal, QC
- Temporary
Added 1 month ago
S
Managing Director - Portfolio Operations
Staffmax
Winnipeg, MB
- $150,000 to $200,000 CAD / year
Added 1 month ago
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Temporary: CNC / Industrial Machinist
Staffmax
Montréal, QC
- $35 CAD / hour
- Temporary
Added 1 month ago
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Plastic Extrusion Machine Operator
Staffmax
Winnipeg, MB
- $19 to $20 CAD / hour
Willingness to work morning, evening, or night shifts as required · Paid training on the day shift for approximately 3–4 weeks

Staffmax

Principal Data Engineer – Databricks

Toronto, ON, Canada

Salary: $150K–$180K · Temporary

Apply on jobs.staffmax.ca About employer

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Job details

Pay: Salary: $150K–$180K
Job type: Temporary
Apply by: Aug 29, 2027
Work location: Work Arrangement: Onsite / 4 Days in Office
Posting language: English
Posted: Aug 29, 2026

Original job description

Location: Toronto, ON
Work Arrangement: Onsite / 4 Days in Office
Salary: $150K–$180K
Experience: 12–18 Years

We are looking for a Principal Data Engineer – Databricks to lead enterprise-scale data modernization initiatives, with a strong focus on Cloudera-to-Databricks migration, Lakehouse architecture, finance/risk data, and large-scale data engineering.

Key Responsibilities & Requirements

12–18 years of overall data engineering experience.
8+ years of experience with enterprise Data Warehouse and Data Lake platforms.
5+ years of hands-on experience with Databricks and Spark at scale.
Lead modernization of legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse.
Redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake.
Refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines.
Design and govern enterprise Data Warehouse, Data Lake, and Lakehouse architectures.
Implement Medallion Architecture (Bronze, Silver, Gold) and layered data platforms.
Develop and optimize large-scale pipelines using PySpark, Spark SQL, Delta Lake, and Databricks SQL.
Optimize workloads using Z-ORDER, OPTIMIZE, caching, and cluster configurations.
Build semantic and consumption layers for BI, reporting, and analytics.
Work with finance and risk data models, including General Ledger, Sub-ledger, financial hierarchies, and credit/liquidity/market risk exposure models.
Support reporting capabilities including aggregation, drill-down, and drill-back.
Implement data governance, data quality, reconciliation, lineage, metadata, security, and compliance controls.
Work with AWS or Azure cloud platforms.
Implement CI/CD using Git, Terraform, Jenkins, or Azure DevOps.
Use orchestration tools such as Airflow or Databricks Workflows.
Experience with dbt is an asset.
Act as a technical authority, lead architecture decisions, mentor senior engineers, and establish engineering standards.
Partner with finance, risk, analytics, and governance stakeholders to deliver business-ready data solutions.

Nice to Have

Experience in BFSI, Capital Markets, or regulatory reporting.
Exposure to SAP Finance, Oracle Financials, or S/4HANA.
Experience supporting AI/ML workloads.
Databricks or cloud certifications.

Impact

Lead Cloudera-to-Databricks transformation initiatives.
Shape enterprise finance and risk data platforms.
Support regulatory, management, and analytical reporting systems.

Apply on jobs.staffmax.ca About employer

More about this job

Responsibilities

The Principal Data Engineer at Staffmax will lead the move of legacy Cloudera data platforms to Databricks, design Lakehouse and Medallion pipelines, and build finance and risk data models. The role also sets engineering standards and mentors senior engineers.

Requirements

Candidates need 12–18 years of data engineering experience, including 5+ years with Databricks and Spark at scale and 8+ years with enterprise data warehouse and data lake platforms. Strong skills in PySpark, Spark SQL, Delta Lake, CI/CD and AWS or Azure are expected.

Skills

Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake
Databricks SQL
Cloudera CDH/CDP
Apache Hive
Apache Impala
Apache HBase
HDFS
Z-ORDER
OPTIMIZE
Medallion Architecture
Data Warehouse architecture
Data Lake architecture
Lakehouse architecture
ELT pipeline design
Data modeling
General Ledger data
Sub-ledger data
Credit risk data
Liquidity risk data
Market risk data
Data quality

Keywords

Databricks
Cloudera
Spark
PySpark
Spark SQL
Delta Lake
Lakehouse
Medallion Architecture
Data Warehouse
Data Lake
Hive
Impala
HBase
HDFS
Airflow
dbt
Terraform
Jenkins
Azure DevOps
Data Engineering

Seniority

Lead

Tools

Databricks
Cloudera
Hive
Impala
HBase
Airflow
dbt
Terraform
Jenkins

Languages

English

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