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Added 29 mins ago
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Added 3 hours ago
Senior Azure Databricks Consultant
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Burnaby, BC
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Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).
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Added 1 day ago
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Added 2 days ago
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BURGEON IT SERVICES

Senior Azure Databricks Consultant

Burnaby, BC, Canada

Job type: Contract
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

Position: Senior Azure Databricks Consultant

Location: Burnaby Canada Hybrid

Duration: Long Term Contract

Job Description:

About the Role

We’re seeking an intermediate-level Azure Databricks Engineer to build and optimize scalable data pipelines, manage Delta Lake-based data products, and support analytics/ML workloads. You’ll collaborate with data engineers, analysts, and platform teams to deliver reliable, well-documented, and secure solutions on Azure.

Key Responsibilities

Design, build, and maintain PySpark/SQL pipelines in Azure Databricks for batch and streaming data.
Develop robust ingestion from Azure Data Lake Storage (ADLS Gen2), Azure Synapse/SQL, Event Hub, Kafka, and REST/JSON sources.
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Implement monitoring and alerting (cluster/job metrics, driver/executor logs).
Use Databricks Repos, notebooks, and modular PySpark projects with unit tests (pytest).
Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).
Manage environments (dev/test/prod), secrets/Key Vault, and configuration promotion.

Required Qualifications (Intermediate Level)

6+ years in data engineering; 4+ years hands-on with Azure Databricks and Spark.
Strong PySpark and SQL skills: DataFrames, joins, window functions, UDFs, incremental loads.
Practical experience with Delta Lake, Unity Catalog, and Databricks Jobs/Workflows.
Familiarity with Azure services: ADLS Gen2, Azure Key Vault, Event Hub, Azure SQL/Synapse.
Version control (Git) and CI/CD experience; basic testing practices (pytest).
Ability to optimize Spark jobs and troubleshoot: skew, shuffle, OOM, driver/executor tuning.
Solid understanding of data modeling (star schema, medallion/lakehouse), partitioning, and file formats (Parquet/JSON).
Airflow, Azure Data Factory orchestration.
Terraform for Databricks & Azure resources.
Basic Scala and/or SQL Warehouses (Databricks SQL) for BI.

Education

Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).

Certifications (Optional but Valued)

Databricks: Data Engineer Associate/Professional
Microsoft Azure: DP-203 (Data Engineering on Microsoft Azure), AZ-900 (Fundamentals)

Tools & Tech Stack (Typical)

Languages: Python (PySpark), SQL
Databricks: Notebooks, Jobs/Workflows, Repos, Unity Catalog, Delta Lake, MLflow
Azure: ADLS Gen2, Key Vault, Event Hub, Synapse/SQL, Monitor/Log Analytics
DevOps: Git, Azure DevOps/GitHub Actions, Terraform/Bicep

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More about this job

Responsibilities

Design, build, and optimize batch and streaming data pipelines in Azure Databricks, integrating data from Azure and other sources. Maintain secure, monitored, and well-tested data products, and support deployment automation, environment management, and analytics or machine-learning workloads.

Requirements

Requires 6+ years of data engineering experience, including 4+ years working hands-on with Azure Databricks and Spark, plus strong PySpark and SQL skills. Candidates should have experience with Delta Lake, Azure services, CI/CD, testing, Spark troubleshooting and optimization, data modeling, orchestration, and Terraform; a relevant bachelor’s or master’s degree or equivalent experience is listed.

Skills

Azure Databricks
PySpark
SQL
Spark Optimization
Delta Lake
Unity Catalog
Data Pipeline Development
Azure Data Lake Storage Gen2
Azure Synapse
Event Hub
Kafka
CI/CD
Terraform
Data Modeling
Airflow
Azure Data Factory

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
SQL
Apache Spark
Delta Lake
Unity Catalog
Databricks Jobs and Workflows
Databricks Repos
Azure Data Lake Storage Gen2
Azure Synapse
Azure SQL
Azure Event Hub
Kafka
REST and JSON
Airflow
Azure Data Factory
Terraform
Azure DevOps
GitHub Actions
Git
pytest
Azure Key Vault
Azure Monitor
Log Analytics
Medallion Architecture
Lakehouse
Data Modeling
Parquet
MLflow
DP-203

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