Posted 5 months ago
Senior Databricks Consultant – Cybersecurity Data Solutions
@ Querentia Inc.
Montréal, Quebec
Overview
Querentia Inc. is hiring a Senior Databricks Consultant on a contract basis to build cloud-based data engineering and analytics solutions for cybersecurity and Identity & Access Management initiatives. The role sits in an Agile pod with a delivery lead, analyst/tester and developers, and requires hands-on Databricks and PySpark experience, with Azure preferred and French strongly preferred.
Responsibilities:
- Design and optimize Databricks data engineering and analytics solutions
- Build scalable pipelines using PySpark and Spark
- Develop cloud data processing solutions, primarily on Azure
- Support cybersecurity initiatives including IAM and cyber risk analytics
- Collaborate within an Agile pod on design, testing and deployment
Requirements summary:
- Senior Consultant-level data engineering or cloud data experience
- Strong hands-on Databricks experience (mandatory)
- Proficiency in PySpark, Apache Spark and data pipeline development
- Agile or pod-based delivery experience
- French language proficiency strongly preferred
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-05-27
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | French |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Querentia Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 331 |
Job Summary
We are seeking a Senior Databricks Consultant to support the development of advanced data solutions focused on cybersecurity and Identity & Access Management (IAM) initiatives. The consultant will work within an Agile pod structure alongside a delivery lead, functional analyst/tester, and development team to design and implement scalable cloud-based analytics and data engineering solutions.
The ideal candidate will bring strong hands-on expertise with Databricks, modern cloud data platforms, and large-scale data pipeline development, with exposure to cybersecurity domains considered a strong asset.
Key Responsibilities
•
Design, develop, and optimize data engineering and analytics solutions using Databricks.
•
Build scalable data pipelines using PySpark and Spark frameworks.
•
Develop cloud-based data processing solutions, primarily within Azure environments.
•
Support cybersecurity-focused initiatives including Identity & Access Management (IAM), cyber risk analytics, and security data processing.
•
Collaborate closely with Agile pod members including delivery leads, analysts, testers, and developers.
•
Participate in solution design, development, testing, deployment, and optimization activities.
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Troubleshoot technical issues and ensure high-quality solution delivery.
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Contribute to documentation, knowledge transfer, and continuous improvement initiatives.
Required Qualifications
•
Senior Consultant-level experience in data engineering, analytics, or cloud data solutions.
•
Strong hands-on experience with Databricks (mandatory).
•
Strong proficiency in:
•
PySpark / Apache Spark
•
Data pipeline development
•
Cloud data platforms (Azure preferred)
•
Experience working within Agile or pod-based delivery environments.
•
Strong analytical, troubleshooting, and problem-solving skills.
•
Ability to work independently in collaborative project environments.
Preferred Qualifications
•
Exposure to cybersecurity domains such as:
•
Identity & Access Management (IAM)
•
Cyber risk
•
Security operations or security analytics
•
Experience with cloud-native data architecture and large-scale data processing.
•
French language proficiency strongly preferred.
Key Skills & Competencies
•
Databricks Development
•
PySpark & Apache Spark
•
Azure Cloud Data Engineering
•
Data Pipeline Development
•
Cybersecurity Data Solutions
•
Identity & Access Management (IAM)
•
Agile / Pod-based Delivery
•
Problem Solving & Collaboration
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