As a Senior Solutions Engineer, you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.
You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Field Engineering Manager.
The impact you will have:
- You will lead your prospects through evaluating and adopting Databricks
- You will be a Big Data Analytics expert on aspects of architecture and design
- You will support your customers by authoring reference architectures, how-tos, and demo applications
- You will help integrate Databricks with 3rd-party applications to support customer architectures
- You will engage with the technical community by leading workshops, seminars and meet-ups
- You will partner with your Account Executive, and form successful relationships with clients throughout your assigned territory to deliver exceptional technical and business value
What we look for:
- Pre-sales or post-sales experience working with external clients providing expertise
- Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Cloud platform and basic cloud security/networking knowledge advantageous
- 2+ years relevant technical experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
- Fluent coding experience in Python or Scala. Implementing Spark, Java and R is also desirable
- Written and verbal fluency in both English and Spanish
- Nice to have: Databricks Certification
Benefits
- Benefits allowance
- Life coverage
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
About Databricks
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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