Solutions Engineer

7 days ago

Toronto, Ontario, Canada Databricks Full time $81,920 - $114,912 per year

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 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

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
  • 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 customers confidently and professionally
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire

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