Databricks

Sr. Solutions Engineer

Montreal, Canada
AWS Python R Scala Java Spark Vue.js Azure
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Description

Lieu : Montréal

Nous recherchons des professionnels expérimentés en pré-vente ayant un historique de succès dans l'aide aux grandes entreprises pour devenir plus axées sur les données. En collaboration avec l'Enterprise Account Executive (AE), l’Architecte de Solutions (SA) Entreprise définit et dirige la stratégie technique pour nos plus grands et importants comptes, conduisant à une utilisation plus répandue de nos produits et à une adoption plus large et plus profonde du ML et de l’IA. Vous vous appuierez sur votre solide expérience en vente de valeur, en gestion technique de comptes et en leadership technique pour maximiser le succès dans ces comptes. Bien que vous travailliez avec une équipe qui comprend des ressources pratiques qui construiront des preuves de concept et démontreront les produits de Databricks, vous devez avoir une bonne connaissance technique et comprendre la pertinence et l'application du ML et de l’IA dans une gamme de cas d'utilisation importants pour les comptes cibles dans la région métropolitaine de Montréal.

L'impact que vous aurez :

  • Vous travaillez avec plusieurs clients en tant que principal interlocuteur technique pour Databricks.
  • Vous guidez vos clients dans un parcours de transformation, les aidant à évaluer et adopter Databricks dans le cadre de leur stratégie.
  • Vous mettez en œuvre la stratégie technique dans le compte relative à la stratégie globale du territoire.
  • Vous créez un regroupement de champions techniques au sein du compte.
  • Vous alignez les stratégies techniques autour des solutions Databricks.
  • Vous travaillez avec votre équipe de vente et vos pairs techniques pour générer des résultats commerciaux pour nos clients.

Ce que nous recherchons :

  • Maîtrise de la mise en place d'équipes virtuelles et de leur conduite vers un succès ultime au sein du compte.
  • Expérience de travail avec des comptes de grandeur (> 1 million de dollars de revenus annuels récurrents), à l'échelle mondiale.
  • Capacité à établir des relations avec des dirigeants et des influenceurs.
  • Présenter un point de vue convaincant aux décideurs clés qui les conduit vers le succès.
  • Compétences techniques en big data, sciences de données et cloud (Azure & AWS).
  • Aptitude à la transformation commerciale axée sur les données et à conduire le changement grâce aux données.
  • Expérience de programmation en production en Python, R, Scala ou Java.
  • Atout: Certification Databricks, Snowflake, AWS ou Azure.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

 Databricks
Databricks
Analytics Artificial Intelligence Information Technology Machine Learning Software

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