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Microsoft Data Entry Remote Jobs in Quebec (NOW HIRING)

Omm IT Solutions

It is a 100% Remote position in Canada. \n * Candidates Preferred from EST\/CST Time Zone. \n JOB ... Data Architect with deep, production\-grade Microsoft Fabric experience to accelerate our active ...

MCKESSON

Strong data entry, documentation, and administrative skills * Ability to follow defined procedures ... Experience working in a remote or virtual call‑based environment * Proficiency with Microsoft ...

Maple Leaf Foods

Attention to detail and accuracy in data entry; * Good knowledge of the WINDOWS, OFFICE, and NAV ... Ability to work in a hybrid remote-work arrangement * Autonomy and versatility; * Bilingual in ...

Canadian Automobile Association (CAA)

Finalize the entry of insurance contract data to ensure prompt transaction processing. * Ensure ... REMOTE #LI-EZ1

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Microsoft Data Entry Remote information

Are there legit remote data entry jobs?

Yes, legitimate remote data entry jobs are available from reputable companies and often involve tasks like inputting information into databases or spreadsheets. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools, and they usually do not require advanced certifications.

How to make $1000 a week remote?

A Microsoft Data Entry Remote role typically pays hourly, so earning $1000 weekly requires working approximately 40 hours at a standard rate or more with higher-paying clients. Increasing income can involve taking on multiple clients, improving efficiency with data entry tools, or gaining specialized skills like Excel or database management to command higher rates.

How to make 2000 a week working from home?

A Microsoft Data Entry Remote role typically pays hourly, so earning $2000 weekly requires high-volume work or multiple shifts, often totaling 40+ hours at competitive rates. Increasing income may involve developing fast typing skills, using productivity tools, and seeking higher-paying contracts or overtime opportunities within the job's scope.

What are the key skills and qualifications needed to thrive in the Microsoft Data Entry Remote position, and why are they important?

To thrive as a Microsoft Data Entry Remote professional, you need excellent attention to detail, fast and accurate typing skills, and a strong grasp of data management principles, typically supported by a high school diploma or equivalent experience. Proficiency in Microsoft Office tools, especially Excel and Access, as well as familiarity with cloud-based collaboration platforms, is crucial. Outstanding organizational skills, self-motivation, and clear communication will make you stand out, especially in a remote environment. These competencies are vital for maintaining data integrity, meeting deadlines, and contributing reliably within a distributed team.

What is a Microsoft Data Entry Remote job?

A Microsoft Data Entry Remote job involves inputting, updating, and managing data in Microsoft software such as Excel, Word, or databases from a remote location. Responsibilities may include organizing spreadsheets, verifying accuracy, and maintaining digital records. Strong attention to detail, typing proficiency, and familiarity with Microsoft Office tools are essential. This role allows individuals to work from home while supporting administrative and data management tasks for businesses or organizations.

What are the typical daily responsibilities for someone working as a Microsoft Data Entry Remote professional?

A Microsoft Data Entry Remote professional is responsible for accurately inputting, updating, and verifying large volumes of data in Microsoft databases or spreadsheets. You can expect to spend your day organizing records, cross-checking information for errors, and occasionally generating simple reports for supervisors or team members. Regular communication through email or chat with team leads ensures priorities are clear and any discrepancies are quickly resolved. While most tasks are independent, collaboration may occur during virtual meetings or when working on shared projects within a distributed team structure.

Does Microsoft offer fully remote positions?

Microsoft Data Entry Remote positions are often available as fully remote roles, allowing employees to work from home. These positions typically require proficiency with data management tools and may involve flexible schedules, depending on the specific job listing.
What are popular job titles related to Microsoft Data Entry Remote jobs in Quebec? For Microsoft Data Entry Remote jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Microsoft Data Entry Remote jobs in Quebec look for? The top searched job categories for Microsoft Data Entry Remote jobs in Quebec are:
What cities in Quebec are hiring for Microsoft Data Entry Remote jobs? Cities in Quebec with the most Microsoft Data Entry Remote job openings:
Microsoft Data Entry Remote jobs near you
Infographic showing various Microsoft Data Entry Remote job openings in Quebec as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Consulting Senior Data Architect (Microsoft Fabric Focus)

Omm IT Solutions

Remote

Contractor

Posted 23 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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