Architecte Solutions Infonuagiques - Data (Cloud Solution Ar...

Microsoft
Toronto, ON
30+ days ago
Microsoft
Microsoft
microsoft.com

Job Description

Microsoft a comme mission de permettre à chaque personne et à chaque organisation de la planète d’en accomplir davantage. Poussés vers le haut par notre culture, nous adoptons une mentalité de croissance, inspirons l’excellence et encourageons les équipes et les dirigeants à donner le meilleur d’eux-mêmes chaque jour. Ce faisant, nous créons des innovations qui changent les vies de milliards de personnes dans le monde entier. Vous pouvez nous aider à accomplir notre mission.

Microsoft souhaite aider ses clients à réaliser leur propre transformation numérique grâce à la puissance de ses solutions et services Microsoft Cloud. C’est dans cette optique que Microsoft investit dans une équipe consacrée à la réussite de ses clients, qui aidera ces derniers à atteindre leurs résultats commerciaux.

Azure est à l’heure actuelle la plateforme infonuagique la plus complète, la plus novatrice et la plus souple qui soit. Par conséquent, Microsoft embauche des professionnels qui favoriseront l’adoption du nuage par les clients au sein des entreprises les plus importantes du marché.

Nous ne cessons jamais d’apprendre. Nous sommes animés d’une insatiable curiosité. Nous faisons face à l’incertitude, prenons des risques et apprenons rapidement de nos erreurs. Nous nous développons grâce aux idées des autres, car nous sommes meilleurs tous ensemble. Nous sommes émerveillés par ce que l’humain peut accomplir, et cela nous motive à encourager les autres à en faire plus grâce à nos technologies et à nos innovations. Ensemble, nous changeons les choses.

Pour en savoir plus sur la mission de Microsoft, visitez le site : https://careers.microsoft.com/mission-culture

Découvrez tous nos produits au : http://www.microsoft.com/fr-ca

Nous recherchons un architecte de solutions infonuagiques pour plateforme de données spécialisé en analyses avancées et en intelligence artificielle. Cette personne, qui devra être fortement motivée et passionnée, sera amenée à conduire des initiatives clients hautement prioritaires sur la plateforme Microsoft Azure en collaboration avec les clients et les secteurs d’activité de nos comptes entreprise. Il s’agit d’un poste en lien direct avec les clients, ayant pour responsabilité d’assurer la relation technique globale entre les clients et la plateforme de données, d’analyses avancées et d’intelligence artificielle de Microsoft.

Vous serez chargé des engagements techniques liés à la plateforme de données et aux analyses avancées envers les clients, y compris des séances de conception architecturale, des projets de mise en œuvre particuliers et des PPPV. Le candidat idéal aura de l’expérience dans des fonctions en lien direct avec les clients et aura réussi à mener, avec son équipe dirigeante, les architectes d’entreprise, l’équipe de gestion des TI et les développeurs, des discussions axées sur une architecture technique approfondie dans le but de mettre en œuvre les solutions de plateforme de données et d’analyses avancées.

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.
Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.

Azure is the most comprehensive, innovative and flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.

We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas because we are better together. We stand in awe of what humans dare to achieve and are motivated every day to empower others to do more and achieve more through our technology and innovation. Together we make a difference.

To learn more about Microsoft’s mission, please visit: https://careers.microsoft.com/mission-culture

Check out all of our products at: http://www.microsoft.com/en-us

We are looking for a highly motivated and passionate Data Platform & Advanced Analytics/Artificial Intelligence Cloud Solution Architect to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.

Responsibilities


Parmi les principales responsabilités :

  • Comprendre l’ensemble des données des clients, leurs priorités informatiques et d’affaires et les mesures de réussite afin de concevoir des solutions et des architectures de mise en œuvre.
  • Appliquer des connaissances techniques pour élaborer l’architecture de solutions qui répond aux besoins commerciaux et informatiques, créer des feuilles de route pour la plateforme de données, les analyses et l’IA, et assurer la viabilité technique à long terme des nouveaux déploiements en intégrant des technologies d’analyses clés au besoin (p. ex., SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.).
  • S’assurer que les solutions présentent de hauts niveaux de performance, de sécurité, d’évolutivité et de maintenabilité, ainsi qu’une réutilisabilité et une fiabilité adéquates au moment du déploiement.
  • Établir des liens étroits avec les principaux décideurs des TI et d’entreprise pertinents (comme l’IA ou l’analyse), qui ont la capacité d’encourager l’adoption de l’infonuagique au sein de leur entreprise pour faire d’eux des défenseurs du nuage.
  • Être la voix du client pour partager des renseignements et des pratiques exemplaires et pour interagir avec l’équipe d’ingénierie dans le but de supprimer les obstacles principaux.
  • Évaluer les connaissances des clients de la plateforme Azure et de la préparation globale à l’infonuagique de manière à soutenir les clients au moyen d’un plan d’apprentissage structuré et à assurer sa mise en œuvre grâce aux partenaires.
  • Collaborer avec d’autres architectes de solutions infonuagiques et intervenants MS pour développer des solutions d’entreprise complexes de bout en bout sur les plateformes infonuagiques Microsoft.
  • Maintenir les connaissances et les compétences techniques, suivre les tendances du marché et recueillir des renseignements concurrentiels, et collaborer et partager ses découvertes avec la communauté technique tout en renseignant les clients sur la plateforme Azure.
  • Être un évangéliste de la plateforme Azure auprès des clients, des partenaires et des communautés externes.

Key responsibilities include:
  • Understand customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
  • Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)
  • Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
  • Develop deep relationships with key customer IT decision makers and relevant business decision makers (like AI or Analytics), who drive long-term cloud adoption within their company to enable them to be cloud advocates
  • Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers
  • Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
  • Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.
  • Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform
  • Be an Azure Platform evangelist with customers, partners and external communities.

Qualifications

Expérience requise en matière de formation, d’expériences clés, de connaissances et de compétences :expérience professionnelle. Au moins 5 ans de succès dans le domaine des ventes techniques consultatives ou complexes et du déploiement de projets de plateforme de données et d’analyses, ainsi que d’expérience en architecture, conception, mise en œuvre ou soutien d’applications distribuées à grande échelle obligatoire.

  • Développement de relations. Expérience reconnue en ce qui concerne l’établissement de relations techniques approfondies avec des dirigeants des TI de clients importants ou hautement stratégiques. Expérience de gestion des relations avec divers intervenants afin d’obtenir un consensus au sujet d’une solution ou de projets obligatoire.
  • Bon sens des affaires pour comprendre rapidement le secteur et les affaires du client de manière à avoir des discussions pertinentes avec les décideurs commerciaux.
  • Résolution de problèmes. Aptitude à résoudre les problèmes des clients au moyen de technologies infonuagiques
  • Collaboration et communication. Reconnaissance pour son expertise en matière de prise de décisions collaborative, de résolution de conflits et de suivi des mesures et décisions prises, en plus de compétences exceptionnelles en matière de communication verbale et écrite Aptitude à organiser et à mener avec influence des équipes virtuelles pour assurer le succès de la mise en œuvre des projets clients. Compétences de présentation avec très grande aisance face à des publics vastes ou plus restreints (dirigeants, équipe de gestion des TI, administrateurs de bases de données et scientifiques des données) obligatoires.


Profil technique

  • Expérience technique en milieu d’entreprise avec conceptions architecturales infonuagiques et hybrides de données et d’analyses, migrations de base de données et gestion de la technologie obligatoire
  • Expérience et aptitude technique à apprendre de nouvelles technologies et à comprendre les tendances infonuagiques pertinentes, en particulier dans les plateformes de données et l’analyse
  • Concurrence : connaissance des plateformes de développement infonuagique
  • Partenaires : compréhension des écosystèmes des partenaires et capacité à mettre à profit les solutions partenaires pour répondre aux besoins des clients souhaitables

Vastes connaissances et expérience technique avec expertise approfondie en la matière dans au moins deux des solutions de plateforme infonuagique pour les analyses de données et l’IA obligatoires

  • SQL, y compris les logiciels à code source libre (Postgres, MySQL, etc.), Azure SQL
  • Bases de données NoSQL, y compris les logiciels à code source libre (Maria, Mongo, etc.), Cosmos DB
  • Données massives, y compris SQL DW, Snowflake, Big Query, Redshift
  • Analyses avancées, y compris Azure Data Bricks, outils de visualisation comme PowerBI, Tableau
  • Gouvernance des données
  • Ingénierie des données
  • Science des données
  • Apprentissage automatique, y compris Azure ML, ML Server
  • Intelligence artificielle, y compris BOT framework, Cognitive Services, Cognitive Search
  • Expertise dans les charges de travail de l’environnement de données comme HDInsight, Hadoop, Cloudera, Spark, Python

Formation

  • Baccalauréat en informatique, en technologies de l’information, en ingénierie ou dans un domaine connexe souhaitable
  • Certification souhaitable dans au moins une des technologies suivantes : infonuagique, mobile, base de données, données massives, veille stratégique, science des données, apprentissage automatique, intelligence artificielle

Expérience

  • Expérience de travail dans un poste de consultation ou d’architecture au sein d’une entreprise de logiciels ou de services comme Amazon, VMware, Google, IBM ou Oracle souhaitable
  • Expérience antérieure de livraison de solutions chez des fournisseurs spécialisées en analyse et en IA


Microsoft souscrit au principe de l’égalité d’accès à l’emploi. Tous les candidats admissibles seront considérés pour le poste, peu importe l’âge, l’ascendance, la couleur, la nécessité d’un congé familial ou d’un congé de maladie, l’identité ou l’expression sexuelle, l’information génétique, l’état civil, l’état de santé, l’origine nationale, le handicap physique ou mental, l’allégeance politique, le statut d’ancien combattant, la race, la religion, le genre, l’état de grossesse, l’orientation sexuelle ou toute autre caractéristique protégée par les lois applicables, les réglementations ou les ordonnances.


Les avantages énumérés ci-dessous peuvent varier en fonction de la nature de votre emploi chez Microsoft et du pays où vous travaillez.


Knowledge and Skills: Professional Experience

5+ years of success in consultative/complex technical sales and deployment Data Platform and Analytics projects, architecture, design, implementation, and/or support of highly distributed applications required
  • Relationship Building. Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts. Experience in managing various stakeholder relationships to get consensus on solution/projects. Required
  • Good business acumen to quickly understand the customer’s industry and business to have relevant discussions with business decision makers.
  • Problem Solving. Ability to solve customer problems through cloud technologies Required
  • Collaboration and Communication. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Database administrators and Data Scientist) Required
Technical
  • Enterprise-scale technical experience with cloud and hybrid Data and Analytics architecture designs, database migrations, and technology management. required
  • The technical aptitude and experience to learn new technologies and understand relevant cloud trend especially in Data Platforms and Analytics
  • Competitive Landscape: Knowledge of cloud development platforms
  • Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred
Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Analytics and AI Platform Cloud solutions required
  • SQL including OSS (postgres, MySQL etc), Azure SQL
  • NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
  • Big Data including SQL DW, Snowflake, Big Query, Redshift
  • Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
  • Data Governance
  • Data Engineering
  • Data Science
  • Machine Learning including Azure ML, ML Server
  • Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search
  • Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineer, or related field preferred
  • Certification in one or more of the following technologies preferred: Cloud, mobile, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence
Experience
  • Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired
  • Prior solution delivery experience in Analytic and AI specialized solution providers

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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