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Azure Sentinel Jobs in Quebec (NOW HIRING)

Omm IT Solutions

Azure lead architect, security architect\/engineer, DevOps platform engineer, and product ... Sentinel. \n \n \n \n \n \n

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How much do azure sentinel jobs pay per year?

As of Aug 8, 2026, the average yearly pay for azure sentinel in Quebec is $113,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What does an Azure Sentinel specialist do?

A typical day for an Azure Sentinel specialist involves monitoring and analyzing security alerts, investigating suspicious activities, and responding to potential threats within an organization's Azure environment. The role often requires collaboration with IT and security teams to implement new policies, fine-tune detection rules, and review incident response procedures. You may also be responsible for configuring automated responses and generating security reports for management. This dynamic position offers opportunities to develop advanced technical skills and play a vital role in protecting organizational assets from evolving cyber threats.

What is an Azure Sentinel?

An Azure Sentinel job typically involves working with Microsoft Sentinel, a cloud-native SIEM and SOAR solution, to monitor, detect, and respond to security threats. Professionals in this role configure Sentinel for log collection, create detection rules, investigate security incidents, and automate responses. Responsibilities may also include integrating Sentinel with other security tools, writing Kusto Query Language (KQL) queries, and improving an organization's security posture. Common job titles include Security Engineer, SOC Analyst, or Azure Security Consultant.

What are the key skills and qualifications needed for an Azure Sentinel?

To thrive as an Azure Sentinel specialist, you need expertise in cybersecurity, security information and event management (SIEM), and threat detection, often backed by a degree in computer science or a related field. Hands-on experience with Microsoft Azure Sentinel, Azure Security Center, and certifications like Microsoft Certified: Security Operations Analyst Associate are highly valued. Strong analytical thinking, problem-solving abilities, and proactive communication skills help professionals excel in monitoring and responding to security incidents. These skills are critical for ensuring robust organizational security, minimizing risk, and efficiently addressing threats in cloud-based environments.

Azure Sentinel jobs near you
Infographic showing various Azure Sentinel job openings in Quebec as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, 1% Temporary, and 10% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $113,194 per year, or $54.4 per hour.

Consulting Senior Data Architect (Microsoft Fabric Focus)

Omm IT Solutions

Remote

Contractor

Re-posted 7 days ago

Job description

\n <\/head>\n \n

PLEASE NOTE:<\/b><\/span><\/span><\/u> <\/b><\/span><\/span>
<\/b><\/span><\/p>\n

    \n
  • It is a 100% Remote position in Canada.<\/b><\/span><\/span>
    <\/b><\/span><\/span><\/li>\n
  • Candidates Preferred from EST\/CST Time Zone.<\/b><\/span><\/span>
    <\/b><\/span><\/span><\/li>\n <\/ul>

    JOB SUMMARY:<\/b><\/span><\/span><\/u>
    <\/span><\/span><\/p>\n

    \n We are seeking a Consulting Senior Data Architect with deep, production\-grade Microsoft Fabric experience to accelerate our active rollout of Fabric for customer\-facing and revenue\-impacting digital products hosted in Azure. This is a hands\-on role responsible for designing and building Fabric artifacts (pipelines, lakehouses, eventstream\/real\-time patterns), defining data architecture standards (conceptual\/logical\/physical), and implementing governance and security guardrails that scale across multiple product teams.<\/span><\/span>
    \n <\/div>\n
    \n
    \n <\/div>\n
    \n Key Responsibilities:<\/b><\/span><\/u><\/span>
    \n <\/div>

    Microsoft Fabric Enablement (Hands\-on Delivery + Standardization)<\/b><\/span><\/span>
    <\/span><\/p>\n

      \n
    • Architect and implement Fabric solutions for data engineering (Spark), Data Factory pipelines<\/b>, and real\-time analytics \/ Event streams <\/b>aligned to digital product needs.<\/span><\/span>
      <\/span><\/li>\n
    • Build and standardize Fabric patterns for ingestion, transformation, and serving across workloads including operational analytics, near\-real\-time, batch, and data science\/ML.<\/b><\/span><\/span>
      <\/span><\/li>\n
    • Create repeatable reference implementations for common digital product scenarios (IoT telemetry, time series, transactional + event fusion, documents, geospatial).<\/span><\/span>
      <\/span><\/li>\n <\/ul>

      Unified Data Platform Architecture (Target State + Roadmap)<\/b><\/span><\/span>
      <\/span><\/p>\n

        \n
      • Produce and maintain the target\-state architecture<\/b> for Fabric\-based data platform capabilities.<\/span><\/span>
        <\/span><\/li>\n
      • Define domain\-oriented data product patterns<\/b> including how shared\/enterprise datasets are curated and reused.<\/span><\/span>
        <\/span><\/li>\n
      • Establish architectural boundaries and integration guidance for shared datasets vs. product\-owned datasets.<\/span><\/span>
        <\/span><\/li>\n <\/ul>

        Data Modeling Standards (Conceptual \/ Logical \/ Physical)<\/b><\/span><\/span>
        <\/span><\/p>\n

          \n
        • Define and enforce data modeling standards and templates appropriate to Fabric Lakehouse\/Warehouse patterns and product analytics needs.<\/span><\/span>
          <\/span><\/li>\n
        • Provide modeling guidance for high\-variance data types (telemetry, geospatial, documents) and hybrid operational\-analytics use cases.<\/span><\/span>
          <\/span><\/li>\n
        • Define standards for schema evolution, versioning, and contract\-first data interfaces (where applicable).<\/span><\/span>
          <\/span><\/li>\n <\/ul>

          Governance, Security, and Compliance by Design<\/b><\/span><\/span>
          <\/span><\/p>\n

            \n
          • Design and implement a governance model covering classification, retention, lineage,<\/b> and auditability.<\/span><\/span>
            <\/span><\/li>\n
          • Ensure compliance guardrails are built into delivery patterns and operational processes to meet GDPR, ISO 27001, and data residency<\/b> requirements.<\/span><\/span>
            <\/span><\/li>\n
          • Define and enforce Fabric access controls using Entra ID, RBAC,<\/b> and workspace\-level controls<\/b> (including guidance for separation of duties and least privilege).<\/span><\/span>
            <\/span><\/li>\n <\/ul>

            CI\/CD + Infrastructure as Code (IaC) for Fabric<\/b><\/span><\/span>
            <\/span><\/p>\n

              \n
            • Define and implement a CI\/CD approach for Fabric artifacts<\/b> as the enterprise source of truth.<\/span><\/span>
              <\/span><\/li>\n
            • Establish release patterns for Fabric changes (promotion strategy, environment separation, approvals, and quality gates) aligned to platform standards.<\/span><\/span>
              <\/span><\/li>\n
            • Manage Fabric\-related platform configuration using Terraform<\/b> as the IaC approach (including reusable modules\/patterns).<\/span><\/span>
              <\/span><\/li>\n
            • Create golden path templates and guidance that product teams can adopt with minimal friction.<\/span><\/span>
              <\/span><\/li>\n <\/ul>

              Capacity Planning, Cost Model, and Chargeback\/Show back<\/b><\/span><\/span>
              <\/span><\/p>\n

                \n
              • Design Fabric capacity strategy (SKU sizing, workload isolation, scaling model) to support multiple products reliably.<\/span><\/span>
                <\/span><\/li>\n
              • Define guardrails and operational practices that reduce waste and improve predictability.<\/span><\/span>
                <\/span><\/li>\n <\/ul>

                Reliability, Observability, and Operational Readiness<\/b><\/span><\/span>
                <\/span><\/p>\n

                  \n
                • Define reliability patterns and operational standards for data pipelines and real\-time workloads.<\/span><\/span>
                  <\/span><\/li>\n
                • Integrate logging\/monitoring with Log Analytics<\/b> and security monitoring with Sentinel,<\/b> including alerting and incident response considerations.<\/span><\/span>
                  <\/span><\/li>\n
                • Define and operationalize data quality SLAs<\/b> (freshness, completeness, accuracy, timeliness) and embed quality checks into delivery pipelines.<\/span><\/span>
                  <\/span><\/li>\n <\/ul>

                  Consulting Engagement + Governance Forums<\/b><\/span><\/span>
                  <\/span><\/p>\n

                    \n
                  • Participate in architectural governance and provide architecture review\/sign\-off, with authority to mandate standards<\/b> when necessary to protect platform integrity<\/span><\/span>
                    <\/span><\/li>\n
                  • Partner closely with platform engineering to align patterns across identity, network, DevOps, and security.<\/span><\/span>
                    <\/span><\/li>\n <\/ul>

                    Working Style & Mindset<\/b><\/span><\/span>
                    <\/span><\/p>\n

                      \n
                    • Hands\-on architect:<\/b> you can design <\/span>and<\/span><\/i> build the critical Fabric artifacts to prove patterns.<\/span><\/span>
                      <\/span><\/li>\n
                    • Platform\-oriented:<\/b> you think in reusable standards, templates, and repeatable governance.<\/span><\/span>
                      <\/span><\/li>\n
                    • Strong consultative presence:<\/b> you can advise product teams while also driving decisions and outcomes.<\/span><\/span>
                      <\/span><\/li>\n
                    • Comfortable with authority:<\/b> you can mandate standards when required to protect the platform and business.<\/span><\/span>
                      <\/span><\/li>\n
                    • Documentation discipline:<\/b> you produce clear ADRs, standards, and operating playbooks.<\/span><\/span>
                      <\/span><\/li>\n <\/ul>

                      Engagement & Collaboration<\/b><\/span><\/span>
                      <\/span><\/p>\n

                        \n
                      • Supports product teams through office hours<\/b> and project\-based sprints.<\/b><\/span><\/span>
                        <\/span><\/li>\n
                      • Works primarily with: Azure lead architect, security architect\/engineer, DevOps platform engineer, and product engineering teams.<\/span><\/span>
                        <\/span><\/li>\n
                      • Data ownership remains with product teams;<\/b> this role defines the how (standards\/patterns\/governance), not centralized ownership.<\/span><\/span>
                        <\/span><\/li>\n <\/ul>\n
                        \n
                        <\/span>\n <\/div><\/span>
                        Requirements<\/h3>

                        Required Deliverables:<\/b><\/span><\/u><\/span>
                        <\/p>

                        You will be accountable for producing the following:<\/span><\/span>
                        <\/span><\/p>\n

                          \n
                        • Target\-state architecture <\/b><\/span><\/span>
                          <\/span><\/li>\n
                        • Data model standards:<\/b> conceptual \/ logical \/ physical + templates<\/span><\/span>
                          <\/span><\/li>\n
                        • Domain\-oriented data product patterns<\/b> and operating guidance<\/span><\/span>
                          <\/span><\/li>\n
                        • Governance model:<\/b> classification, retention, lineage, access controls<\/span><\/span>
                          <\/span><\/li>\n
                        • Fabric workspace strategy + operating model<\/b> (environments, isolation, ownership, lifecycle)<\/span><\/span>
                          <\/span><\/li>\n
                        • CI\/CD approach for Fabric artifacts<\/b> integrated with platform guardrails<\/span><\/span>
                          <\/span><\/li>\n
                        • IaC approach using Terraform<\/b> for Fabric\-related configuration and<\/span><\/span>
                          <\/span><\/li>\n
                        • Cost model + capacity planning strategy<\/b> (SKU sizing, isolation, show back\/chargeback)<\/span><\/span>
                          <\/span><\/li>\n
                        • Architecture Decision Records (ADRs)<\/b> for key platform decisions<\/span><\/span>
                          <\/span><\/u><\/li>\n <\/ul>

                          Qualifications:<\/b><\/span><\/u><\/span>
                          <\/p>

                          Required Experience & Skills<\/b><\/span><\/span>
                          <\/span><\/p>\n

                            \n
                          • 10+ years<\/b> in data architecture\/data engineering roles, including platform\-scale design.<\/span><\/span>
                            <\/span><\/li>\n
                          • Proven Microsoft Fabric production implementations<\/b> <\/b>you have delivered Fabric solutions that run in production with real operational constraints.<\/span><\/span>
                            <\/span><\/li>\n
                          • Deep hands\-on expertise in Fabric areas central to our rollout:<\/span><\/span>
                            <\/span><\/li>\n
                              \n
                            • Data Engineering <\/b><\/span><\/span>
                              <\/b><\/span><\/li>\n
                            • Data Factory (pipelines)<\/b><\/span><\/span>
                              <\/b><\/span><\/li>\n
                            • Real\-time analytics \/ Event Streams<\/b><\/span><\/span>
                              <\/span><\/li>\n <\/ul>\n
                            • Strong architecture capability across mixed data types: transactional, telemetry\/events, documents, geospatial, time series.<\/span><\/span>
                              <\/span><\/li>\n
                            • Demonstrated experience implementing and governing:<\/span><\/span>
                              <\/span><\/li>\n
                                \n
                              • Data modeling standards (conceptual\/logical\/physical)<\/span><\/span>
                                <\/span><\/li>\n
                              • Data governance (classification, retention, lineage)<\/span><\/span>
                                <\/span><\/li>\n
                              • Security patterns using Entra ID<\/b>, RBAC, workspace\-level controls<\/span><\/span>
                                <\/span><\/li>\n
                              • Compliance guardrails for GDPR, ISO 27001,<\/b> and data residency<\/b><\/span><\/span>
                                <\/span><\/li>\n <\/ul>\n
                              • Strong DevOps fluency:<\/span><\/span>
                                <\/span><\/li>\n
                                  \n
                                • CI\/CD patterns and operational delivery<\/span><\/span>
                                  <\/span><\/li>\n
                                • Terraform<\/b> as mandatory IaC for repeatability and standardization<\/span><\/span>
                                  <\/span><\/li>\n <\/ul>\n
                                • Ability to define standards and enforce guardrails<\/b> while maintaining a delivery\-first, pragmatic approach.<\/span><\/span>
                                  <\/span><\/li>\n <\/ul>

                                  Preferred<\/u><\/b><\/span><\/span>
                                  <\/span><\/p>\n

                                    \n
                                  • Experience supporting IoT<\/b> and telemetry\-heavy product ecosystems.<\/span><\/span>
                                    <\/span><\/li>\n
                                  • Experience designing data quality frameworks and SLAs for operational analytics and near\-real\-time processing.<\/span><\/span>
                                    <\/span><\/li>\n
                                  • Familiarity integrating observability\/security signals into Log Analytics<\/b> and Sentinel.<\/b><\/span><\/span>
                                    <\/span><\/li>\n <\/ul>\n
                                    \n
                                    <\/span>\n <\/div><\/span>
                                    \n <\/body>\n<\/html>

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