Senior Databricks Consultant – Cybersecurity Data Solutions

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

Skills

Security, Data Engineering