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Remote Wedding & Event Planner Jobs in Quebec (NOW HIRING)

It is a 100% Remote position in Canada. \n * Candidates Preferred from EST\/CST Time Zone. \n JOB ... Event streams aligned to digital product needs. \n * Build and standardize Fabric patterns for ...

Associate, Corporate Development

Quebec, QC · On-site +1

CA$70K - CA$90K/yr

Preference for Toronto, but open to remote candidates (within North America) Reports to: Director ... Attend conferences and regional events to network and build our acquisition pipeline. Relationship ...

Stay up to date on new technologies, market events/conditions affecting the industry and ultimately ... For remote interactions, turning on a webcam is essential.

Actively participate in promotional events; Represent UV Insurance in social or business activities ... Group insurance; Remote working possible; Complimentary coffee; Preferred rates on insurance ...

Exposure to ERP/financial systems or understanding how payroll data impacts reporting and General ... Team events and opportunities to connect with colleagues. * Opportunity to work with cutting-edge ...

Showing results 21-34

Remote Wedding Event Planner information

See Quebec salary details

$20.5K

$51.2K

$86.5K

How much do remote wedding & event planner jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote wedding & event planner in Quebec is $51,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What is a remote wedding & event planner?

A Remote Wedding & Event Planner coordinates and organizes weddings and events from a remote location, using virtual tools to communicate with clients, vendors, and venues. They handle tasks such as budgeting, scheduling, vendor negotiations, and event design to ensure a seamless experience. While they don’t attend events in person, they provide detailed planning and guidance to execute the event successfully.

Can you be a remote wedding & event planner?

Yes, a wedding and event planner can work remotely by coordinating with clients, vendors, and venues through phone, email, and online planning tools. Success in remote planning requires strong organizational skills, communication abilities, and familiarity with event management software. However, some aspects, such as site visits or on-site coordination, may still require in-person presence depending on the event.

How much do remote wedding & event planners make?

Remote wedding and event planners typically earn between $30,000 and $70,000 annually, depending on experience, location, and the scale of events they manage. Many work freelance or independently, setting their own rates and often earning additional income through commissions or service fees. Compensation can also vary based on skills in organization, vendor negotiation, and familiarity with planning tools.

What are the key skills and qualifications needed to thrive as a remote wedding & event planner?

A Remote Wedding & Event Planner needs excellent organizational abilities, multitasking skills, and experience in event coordination or hospitality management. Familiarity with project management software, online collaboration tools, and virtual meeting platforms is highly valued, while certifications like Certified Wedding Planner (CWP) can be beneficial. Superior communication, problem-solving aptitude, and strong attention to detail are crucial soft skills for success. These competencies ensure seamless event execution, effective remote collaboration, and high client satisfaction in a virtual work environment.

How much money can you make as a remote wedding & event planner?

Remote wedding and event planners typically earn between $30,000 and $75,000 annually, depending on experience, location, and the scale of events managed. Successful planners with strong organizational skills and industry connections can increase earnings through commissions, fees, and repeat clients.

What are some unique challenges of working as a remote wedding & event planner?

One of the main challenges in this role is building strong relationships and trust with clients and vendors without in-person meetings, requiring exceptional communication and follow-up skills. Coordinating logistics across multiple locations and time zones can also add complexity, demanding strong organization and flexibility. Additionally, remote planners must be adept at virtual site tours, digital presentations, and managing all event details online. However, these challenges also offer opportunities to develop innovative solutions and expand your client base beyond geographic limitations.

What job categories do people searching Remote Wedding & Event Planner jobs in Quebec look for? The top searched job categories for Remote Wedding & Event Planner jobs in Quebec are:
What cities in Quebec are hiring for Remote Wedding & Event Planner jobs? Cities in Quebec with the most Remote Wedding & Event Planner job openings:
Infographic showing various Remote Wedding & Event Planner job openings in Quebec as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,151 per year, or $24.6 per hour.

Consulting Senior Data Architect (Microsoft Fabric Focus)

Omm IT Solutions

Remote

Contractor

Re-posted 12 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>