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Zodiac Solutions, Inc

Principal Databricks Data Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Job Title: Principal Databricks Data Engineer

Location: Toronto, ON Onsite / 4 days office

Job Type: Full-Time Permanent

**Key Requirements**

12–18 years of overall data engineering experience

8+ years of experience in enterprise Data Warehouse and Data Lake platforms

5+ years of hands-on experience with Databricks and Spark at scale

Strong experience in modernizing 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

Ensure data reconciliation, audit integrity, and consistency during migration

Design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures

Implement layered architecture including Raw/Landing, Curated/Conformed, and Semantic/Consumption layers

Modernize traditional EDW platforms into scalable lakehouse architectures

Strong experience in finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk exposure models (credit, liquidity, market risk)

Enable reporting use cases including aggregation, drill-down, and drill-back capabilities

Build and manage semantic/consumption layers for BI, reporting, and analytics

Define business metrics, dimensions, hierarchies, and KPIs

Experience with Databricks SQL, Delta tables, and dbt or similar frameworks

Develop and optimize large-scale data pipelines using PySpark, Spark SQL, and Delta Lake

Implement Medallion architecture (Bronze, Silver, Gold layers)

Optimize workloads using Z-ORDER, OPTIMIZE, caching, and cluster configurations

Implement data governance, data quality frameworks, reconciliation controls, and exception handling

Establish data lineage and metadata management

Ensure data security, access control, and compliance standards

Experience with cloud platforms such as AWS or Azure

Experience with CI/CD pipelines using Git, Terraform, Jenkins, or Azure DevOps

Familiarity with orchestration tools such as Airflow or Databricks Workflows

Experience with dbt is a plus

Act as a technical authority and lead architecture decisions

Mentor and guide senior engineers and establish engineering standards

Strong stakeholder management with finance, risk, analytics, and governance teams

Ability to translate complex data structures into business-ready insights

**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

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More about this job

Responsibilities

Lead the migration of legacy Cloudera platforms to Databricks Lakehouse, designing and optimizing enterprise data architectures, pipelines, and finance and risk data models. Establish governance, quality, lineage, security, and reporting capabilities while guiding engineering teams and collaborating with finance, risk, analytics, and governance stakeholders.

Requirements

Requires 12–18 years of data engineering experience, including 8+ years with enterprise data warehouse and data lake platforms and 5+ years of hands-on Databricks and Spark experience. Candidates should have experience modernizing Cloudera, building large-scale lakehouse pipelines, working with finance and risk data, and using cloud, CI/CD, and orchestration tools.

Skills

Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake
Cloudera Migration
Data Warehouse Architecture
Data Lakehouse Architecture
Financial and Risk Data Modeling
Data Governance
Data Quality
Data Reconciliation
Databricks SQL
dbt
AWS
Azure

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake
Cloudera
CDH
CDP
Hive
HBase
Impala
HDFS
Data Warehouse
Data Lakehouse
Medallion Architecture
Databricks SQL
dbt
AWS
Azure
Git
Terraform
Jenkins
Azure DevOps
Airflow
Databricks Workflows
Finance Data
Risk Data
Data Governance
Data Lineage
CI/CD

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