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.
•
Troubleshoot technical issues and ensure high-quality solution delivery.
•
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
