Solutions Engineer
Solutions Engineer
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1 Vacancy
Job Description
P1349
Specifically targeting candidates based in Chicago IL
At Databricks our core values drive everything we do; a culture of proactiveness and a customerfirst 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 realworld data challenges. Youll join a collaborative customerobsessed 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 start as an inoffice role and candidates must be based in one of our offices in Chicago Mountain View (CA) or New York. Relocation assistance is not available for this position at this time.
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 howtos and demo applications and help build the Databricks community in your region by leading workshops seminars and meetups.
- 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 customerfacing 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 customer confidently and professionally
- Can meet expectations for technical training and rolespecific outcomes within 6 months of hire
Employment Type
Full Time
