Data Engineer - Copilot AI at Microsoft

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

203900.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Machine Learning, Data Modeling, Data Governance, Azure AI, Power Platform, Automation, Data Quality, Semantic Modeling, APIs, CI/CD, Incident Response, Prompt Engineering, Data Reliability Engineering, Metadata Management, Agile Methodologies

Industry

Software Development

Description

Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. The Customer Experience Architecture (CXA) organization leads the design of our AI-enabled integrated Customer Success and Support motions across CE&S and drives the implementation requirements across end-to-end customer experience architectures, improving the quality and experience KPIs across CE&S. The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance. We are seeking a goal‑driven Data Engineer - Copilot AI with deep expertise in building scalable data products, data agents across self-services surfaces. In this role, you will partner closely with engineering and business stakeholders to translate complex requirements into reliable, high‑impact solutions. You will deliver clear insights, shape technical direction, and collaborate across product, program, and data engineering teams to enable data‑driven decision making. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and develop intelligent Data Agents within Microsoft Fabric to enable semantic query capabilities on structured datasets. Orchestrate multi-agent workflows using AI Foundry and Copilot Studio for end to end data coverage and workflow integration. Collaborate with cross-functional teams to develop robust user stories, acceptance criteria, and orchestration requirements that align with business objectives Integrate agentic solutions with enterprise data platforms to support conversational experiences and advanced orchestration patterns. Evangelize agent development best practices, mentor peers on Fabric agent frameworks and semantic modeling, and contribute to internal communities. Develop enterprise semantic models and metadata layers to support BI and AI-driven applications, ensuring scalability and high-performance standards. Maintain high standards of data quality, accuracy, timeliness, and compliance with security and privacy requirements. Build automation frameworks to accelerate semantic model creation, agent development, and validation processes Drive inclusion and security compliance in all engineering and automation initiatives. Qualifications Required/Minimum Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Experience in designing and developing Copilot Agents and Power Platform solutions (Power Apps, Power Automate) Other Requirements: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter. Additional or Preferred Qualifications Familiarity with working with Azure AI Foundry, and other LLMs like GPTs, Grok, Claude, Gemini Understanding of integration patterns, AI Orchestration, Prompt Engineering, APIs, and Connectors. Data reliability engineering: CI/CD (Azure DevOps/GitHub), automated testing (e.g., Great Expectations or equivalent), monitoring/alerting, incident response, and cost management. Governance & security: taxonomy/business rules, lineage/metadata, GDPR/PII controls, and access management. Proven ability to convert ambiguous business needs into implementable technical designs; ship iteratively in agile environments; write high‑quality documentation and communicate clearly to diverse audiences. Data Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year. Find additional pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html Data Engineering IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année. Pour plus d'information au sujet de la rémunération, veuillez cliquer ici: https://careers.microsoft.com/v2/global/en/canada-pay-information.html Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and develop intelligent Data Agents within Microsoft Fabric and orchestrate multi-agent workflows for data coverage. Collaborate with cross-functional teams to align technical solutions with business objectives.