Solutions Engineer

Posted 4 Days Ago
Be an Early Applicant
Seattle, WA
94K-167K Annually
1-3 Years Experience
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Solutions Engineer will build relationships with clients, providing technical solutions using the Databricks platform. Responsibilities include demonstrating expertise in big data analytics, developing reference architectures, and leading workshops to promote community engagement.
Summary Generated by Built In

P-1349

Specifically targeting candidates based in Seattle / Bellevue, WA

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push(es) their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

You'll report to the Manager of Solutions Architects for the Inside SA Program and will be based in one of our offices in: Seattle/Bellevue, WA, San Francisco (HQ)/Mountain View (Bay area), Chicago, or New York.

More About Databricks

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The impact you will have:

  • Form successful relationships with clients 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 issues 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:

  • Minimum of 1 year experience in an external customer facing or internal shared services role
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience (2+ years)
  • 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
  • Ability to interact with customer confidently and professionally
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire

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

$94,300$166,900 USD

Zone 2 Pay Range

$94,300$166,900 USD

Zone 3 Pay Range

$94,300$166,900 USD

Zone 4 Pay Range

$94,300$166,900 USD

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.

Top Skills

Java
Python
Scala
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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