Found.dev
Role Highlights
Languages used
Python
Java
SCALA
Key skills
Big Data
Data Science
Solution Architect
Architecture
Cloud
AI
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves building successful relationships with clients to provide technical and business value. The individual will act as an expert in big data analytics to guide customers through architecture, design, and implementation processes. Responsibilities include authoring reference architectures, creating demo applications, and supporting the community through workshops and seminars. The position requires developing customized solutions to help customers address complex data challenges. The individual will collaborate with account executives to ensure the successful adoption of the company's platform.
Required Qualifications and Skills
The role requires prior experience with coding in Python, Java, or Scala. Candidates must possess proficiency in big data analytics technologies, including hands-on experience with complex proofs-of-concept and public cloud platforms. The position necessitates experience in use case discovery, scoping, and delivering complex solution architecture designs. A native level of fluency in Korean is mandatory for this role.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
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. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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