Solutions Engineer
Join Databricks as a Solutions Engineer to build prototypes and help customers tackle real-world data challenges.
Posted by employer 6 hours ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
What you'll build
- Form successful relationships with customers
- Develop into a champion and trusted advisor
- Move quickly from customer problem to working prototype
- Author reference architectures and demo applications
- Lead workshops, seminars, and meet-ups
Must have
- 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
- Hands-on experience with Python, Java, or Scala
- Proficiency in SQL
Nice to have
- Experience with Big Data technologies
Practical constraints
- This will be an in-office role
- Candidates must be based in New York City
- Relocation assistance will not be provided
AI in the day-to-day
Use AI tools to increase productivity and drive innovation.
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
- Visa
- No sponsorship (stated in posting)
Not disclosed in this posting: compensation.
Joblaze summary
In the Solutions Engineer role at Databricks, the individual will engage directly with customers to address their data challenges by developing prototypes and providing technical guidance on the Databricks platform. Key skills include proficiency in programming languages like Python, Java, or Scala, along with experience in Big Data technologies. This position is ideal for someone with at least two years of technical experience in a customer-facing role, particularly those who thrive in hands-on, innovative environments. The role is part of a collaborative team focused on driving customer success and fostering a community around data and AI.
Joblaze insights
Quick facts
- Is the Solutions Engineer role remote?
- No — this is an on-site role in New York City, New York, United States.
- How much experience is required?
- At least 2 years of relevant experience for this Solutions Engineer role.
- Where is the role based?
- Databricks is hiring for this position in New York City, New York, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Hadoop, Java, Kafka, Python, SQL, Scala.
- What seniority level is this role?
- Databricks targets junior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Engineer role at Databricks.
From the original posting
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Solutions Engineer
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 AI and data analytics accessible to everyone in their own context. 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 drive both data and business strategy for our customers, leading the front lines of Databricks growth as well.
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. Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production. 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 our New York City (Midtown location). Relocation assistance will not be provided.
Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.
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 AI and 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 data and AI platform.
- Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes.
- Use AI tools to increase your productivity and drive innovation.
- 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
- Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
- 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
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.