Senior Databricks Consultant – Cybersecurity Data Solutions
- Montréal, QC, Canada
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- Posting language
- English
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Original job description
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
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Design, develop, and optimize data engineering and analytics solutions using Databricks.
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Build scalable data pipelines using PySpark and Spark frameworks.
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Develop cloud-based data processing solutions, primarily within Azure environments.
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Support cybersecurity-focused initiatives including Identity & Access Management (IAM), cyber risk analytics, and security data processing.
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Collaborate closely with Agile pod members including delivery leads, analysts, testers, and developers.
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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
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Senior Consultant-level experience in data engineering, analytics, or cloud data solutions.
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Strong hands-on experience with Databricks (mandatory).
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Strong proficiency in:
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PySpark / Apache Spark
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Data pipeline development
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Cloud data platforms (Azure preferred)
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Experience working within Agile or pod-based delivery environments.
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Strong analytical, troubleshooting, and problem-solving skills.
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Ability to work independently in collaborative project environments.
Preferred Qualifications
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Exposure to cybersecurity domains such as:
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Identity & Access Management (IAM)
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Cyber risk
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Security operations or security analytics
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Experience with cloud-native data architecture and large-scale data processing.
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French language proficiency strongly preferred.
Key Skills & Competencies
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Databricks Development
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PySpark & Apache Spark
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Azure Cloud Data Engineering
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Data Pipeline Development
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Cybersecurity Data Solutions
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Identity & Access Management (IAM)
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Agile / Pod-based Delivery
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Problem Solving & Collaboration
More about this job
Responsibilities
The Senior Databricks Consultant at Querentia Inc. will design and build data pipelines and analytics solutions on Databricks, supporting cybersecurity projects such as access management and security data processing. The role also involves working closely with a pod team through design, testing, deployment and troubleshooting.
Requirements
Candidates need senior-level data engineering or cloud data experience, with strong hands-on Databricks skills and proficiency in PySpark and Apache Spark. Experience in Agile or pod-based teams, and exposure to cybersecurity domains, are strong assets.
Skills
- Databricks
- PySpark
- Apache Spark
- Azure
- Azure Databricks
- data pipeline development
- cloud data engineering
- large-scale data processing
- cybersecurity data solutions
- Identity & Access Management
- cyber risk analytics
- security analytics
- Agile
- pod-based delivery
- troubleshooting
- solution design
- documentation
- knowledge transfer
Categories
- Technology
- Data & Analytics
- Software
- Consulting
- Security & Safety
Keywords
- Databricks
- PySpark
- Apache Spark
- Azure
- data pipeline
- data engineering
- cloud data platform
- cybersecurity
- Identity & Access Management
- IAM
- cyber risk
- security analytics
- Agile
- pod-based delivery
- contract
- French
- data analytics
- big data
- ETL
- consultant
Seniority
Senior
Tools
- Databricks
- PySpark
- Apache Spark
- Azure
Languages
- French