P-146
Mission
Solutions Architects at Databricks are in charge of leading the adoption of Apache Spark and Databricks. They engage with the developer community to train them and evangelize Spark, meet with customers to suggest solutions that they can build with the technology, and see customers through implementing and troubleshooting production systems. Every Solutions Architect is expected to become an Apache Spark expert and to be excellent at interacting with Spark and Databricks users.
At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our Solutions Architects to fully understand the architecture that powers our product and how it can be implemented. Our Solutions Architects not only work with technologies such as Apache Spark, Hadoop and Kafka but they also recommend product features and contribute to open source community. This is a pre-sales and post-sales position where you will work with customers to identify use cases for Databricks, and see them through using the product. Our customers are highly technical, so you must be too.
Outcomes
- Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation and adoption of Databricks
- Consult on architecture and design, bootstrap, and/or implement strategic customer projects
- Build references architectures, how-tos, and demo applications for customers
- Provide escalated level of support for critical customer operational issues
- Architect, implement, and/or validate integrations with 3rd party applications
- Evangelize Spark and Databricks across developer community through meetups and conferences
- Traveling to Customers
- Become an Apache Spark expert
Competencies
- Outstanding verbal and written communication skills
- Excellent presentation and whiteboarding skills
- Comfortable with traveling to multiple customer locations
- 3-5 years in customer-facing pre-sales, technical architecture or consulting role
- Ability to design and architect distributed data systems
- Comfortable writing code in either Python, Scala or Java
- Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm
- [Desired] Experience working with open source and/or AWS/cloud
- BS in Computer Science or a related field such as Information Systems or Mathematics
About Databricks
Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) 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.
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.