Senior Solutions Architect
vor 4 Wochen
As a Senior Solutions Architect at Databricks, you will play a key role in guiding the technical evaluation phase in a hands-on environment throughout the sales process. You will work closely with the sales team as a technical advisor and collaborate with the product team to advocate for your customers' needs.
Our ideal candidate will help customers achieve tangible data-driven outcomes through the use of our Databricks Intelligence platform. You will establish a clear architectural vision, identify compelling use cases, and help customers realize value. You will also grow as a leader in your field, finding solutions to customers' biggest challenges in big data, analytics, data engineering, and data science problems.
The Impact You Will Have:
- Influence stakeholders at all levels through complex strategic engagements with the wider cloud ecosystem and 3rd party applications.
- Be a champion for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- Engage with the technical community by leading workshops, seminars, and meet-ups.
- Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
- Form successful relationships with clients throughout your assigned territory to deliver exceptional technical and business value.
What We Look For:
- Contribute to complex strategic customer interactions up to the C-level and sales lifecycle in a technical pre-sales capacity based on 1+ experience in a similar role.
- Share technical concepts, including presenting and white-boarding.
- Hands-on expertise with complex proofs-of-concept and public cloud platform(s) (AWS, Azure, or GCP).
- Experience with big data technologies such as Apache Spark, Hadoop, or Cassandra and proficiency in writing code in either Python, Scala, or Java.
- Cloud platform and basic cloud security/networking knowledge advantageous.
- A minimum of a bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through work experience.
- Nice to have: Databricks Certification and deep hands-on knowledge in Big Data Engineering or DWH technology.
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