招聘

Principal Product Manager -Data Engineering
Canada, British Columbia, Vancouver
·
On-site
·
Full-time
·
2w ago
Compensation
CA$142,400 - CA$257,500
Required Skills
Product management
Data Engineering
Cloud platforms
Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products in our portfolio
include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new
class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.
The Fabric Spark team is hiring a Principal Product Manager to drive the delivery of a best‑in‑class developer experience in the age of AI. As part of the Data Engineering developer experience team within Microsoft Fabric, this role helps power large‑scale analytics, AI, and real‑time workloads on a fully managed SaaS data platform.
The team’s mission is to enable data engineers and pro-developers to build and operate Apache Spark workloads that are production‑grade, high‑performance, secure, and deeply integrated across the Fabric ecosystem with AI‑powered tools—while eliminating operational complexity for customers.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
- Responsibilities- Own the end‑to‑end developer experience across notebooks, APIs, and AI‑assisted tooling (including MCP and CI/CD), enabling data engineers and professional developers to reliably build, scale, and operate Apache Spark workloads on Microsoft Fabric in the age of AI.
- Translate customer, partner, and field insights into clear product priorities that measurably improve usability, productivity, and operational readiness.
- Partner closely with engineering and partner teams to shape production‑grade Spark capabilities, including performance, reliability, security, and deep integration across the Microsoft Fabric ecosystem.
- Advance AI‑assisted developer workflows for data engineering, including Copilot‑powered experiences, that reduce friction and eliminate operational complexity in real‑world Spark workloads.
- Represent the Spark developer experience in cross‑team and platform‑level decision making, aligning stakeholders across Azure Data, Fabric, and Real‑Time Intelligence to deliver cohesive outcomes at scale.
- Embody Microsoft’s culture and values by operating with a growth mindset, customer obsession, accountability, and inclusive collaboration—driving impact through influence rather than people management.
- Embody our culture and values
Qualifications:
Required/Minimum Qualifications
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
- 4+ years experience with Data Engineering in Cloud.
Job Requirements: Other & Additional
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications
- Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
- 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
- 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
- 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
- 6+ years experience driving developer tools and deep understanding of GIT and DevOps pipelines for CI/CD
#azdat
#azuredata
#microsoftfabric
#notebooks
Product Management IC5 - The typical base pay range for this role across Canada is CAD $142,400 - CAD $257,500 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Product Management IC5 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 142,400 $ CAD à 257,500 $ 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.
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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a Friend
Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Mid/L4 · Program Manager
0 reports
$191,472
total / year
Base
$146,773
Stock
$26,238
Bonus
$18,461
$138,474
$273,204
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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