Solutions Engineer

Databricks; Montreal; On-site; CAD 99,000 - 153,000; Full time

Job summary

Databricks is seeking a Solutions Engineer to join their team in Montreal. This role involves building relationships with customers, applying technical skills in big data analytics, and supporting successful adoption of the Databricks Lakehouse platform. Candidates should be fluent in French and possess a strong technical background.

Qualifications

• 2+ years of technical experience in solutions engineering.
• Experience with big data technologies is a plus.
• Ability to interact confidently with customers.

Responsibilities

• Establish relationships with customers, providing technical and business value.
• Act as an expert in big data analytics to excite customers.
• Develop and share best practices and support the Databricks community.

Skills

Fluency in French

Big Data Analytics

Technical Communication

Customer Engagement

Problem Solving

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, or Engineering

Tools

Python

Java

Scala

SQL

Spark

Hadoop

Kafka

Job description

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P-1406

Specifically targeting candidates based in Montreal, QC, CAN

At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!

More About Databricks

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The Impact You Will Have

• Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.
  
  

What We Look For

• Fluency in French (spoken and written) required for effective communication with customers and team members
• The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
• Hands on experience with Python, Java, or Scala and proficiency in SQL
• Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
• Aptitude to interact with customer confidently and professionally
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
  
  

Ciblant spécifiquement les candidats basés à Montréal, Québec, Canada

Chez Databricks, nos valeurs fondamentales guident chacune de nos actions ; une culture de proactivité et une mentalité axée sur le client alimentent notre mission : créer une plateforme unifiée qui rend la science des données et l’analytique accessibles à tous. Ce poste s’inscrit dans le cadre de notre initiative programmatique visant à former des architectes de solutions — offrant un tremplin à la prochaine génération de leaders de la donnée. Nous souhaitons former des leaders capables de donner à nos clients les moyens de prendre des décisions éclairées qui feront progresser leurs entreprises. Grâce à notre Data Intelligence Platform, nous facilitons la transformation des insights en actions, tout en encourageant la créativité, l’expérimentation et l’amélioration continue. Vous jouerez un rôle clé dans cette mission, en développant vos compétences techniques émergentes dans le domaine de l’architecture de solutions, en apprenant à les appliquer sur la plateforme Databricks et en montrant aux clients comment relever des défis concrets liés à la donnée. Vous rejoindrez une équipe collaborative, passionnée par la satisfaction client, qui prospère grâce à l’innovation pour aider les clients à atteindre leurs objectifs. Venez nous aider à transformer la manière de travailler avec les données dans le monde entier, et façonnez ainsi votre propre avenir!

En savoir plus sur Databricks (en anglais)

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L’impact Que Vous Aurez

• Établir des relations fructueuses avec les clients de votre territoire assigné, en apportant une valeur technique et commerciale aux clients de Databricks en collaboration avec les chargés de comptes.
• Agir en tant qu’expert en analytique big data pour intéresser les clients à propos de Databricks. Vous deviendrez un « champion » et un conseiller de confiance sur plusieurs aspects de l’architecture, du design et de la mise en œuvre, afin de favoriser l’adoption réussie de la plateforme Databricks Lakehouse.
• Diffuser les meilleures pratiques de votre domaine et soutenir les clients en rédigeant des architectures de référence, des guides pratiques et des démonstrations. Vous contribuerez également à développer la communauté Databricks dans votre région en animant des ateliers, des séminaires et des rencontres.
• Développer vos connaissances et votre expertise jusqu’à devenir un spécialiste technique et/ou sectoriel.
  
  

Profil Recherché

• Maîtrise du français (parlé et écrit) requise pour assurer une communication efficace avec les clients et les membres de l’équipe
• Le candidat idéal possède plus de 2 ans d’expérience technique dans un rôle d’ingénierie de solutions en contact avec la clientèle.
• Diplôme de baccalauréat en informatique, science des données, systèmes d’information, ingénierie, ou expérience équivalente acquise par le travail.
• Expérience pratique avec Python, Java ou Scala et maîtrise du SQL.
• Expérience avec les technologies Big Data (ex : Spark, Hadoop, Kafka) et les architectures associées est un atout.
• Capacité à interagir avec les clients de manière assurée et professionnelle.
• Capacité à répondre aux attentes en matière de formation technique et d’objectifs spécifiques au poste dans les 6 mois suivant l’embauche.
  
  

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$99,500—$152,600 CAD

Zone 2 Pay Range

$99,500—$152,600 CAD

Zone 3 Pay Range

$99,500—$152,600 CAD

Zone 4 Pay Range

$99,500—$152,600 CAD

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 Twitter, LinkedIn 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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