Solutions Engineer

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

P-1483

Specifically targeting candidates based in Toronto.

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 engineersoffering 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. Youll 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. Youll 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 dataand shape your future while youre at it!

This will be an in-office role and candidates must be based in Toronto.

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 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:

The ideal candidate has 2 years of technical experience in a customer-facing solutions engineering role
Bachelors 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 customers confidently and professionally
Can meet expectations for technical training and role-specific outcomes within 6 months of hire

P-1483Specifically targeting candidates based in Toronto.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 prog...