Provide technical leadership and architecture consulting to help enterprise customers solve big data, analytics, and AI/ML challenges using Databricks platform. Requires 5+ years in data engineering or technical pre-sales roles, strong Python/SQL skills, and experience with distributed systems and public clouds.
219k – 301k
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About the role
Responsibilities
Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows
Validate integrations with cloud services, home grown tools, and other 3rd party applications
Collaborate with fellow Solutions Architects to support each other and users
Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community
Requirements
5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Experience building distributed data systems
Comfortable programming in and debugging Python and SQL
Built solutions with public cloud providers such as AWS, Azure, or GCP
Expertise in one of: Data Engineering technologies (Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (pandas, scikit-learn, PyTorch, Tensorflow)
Available to travel to customers in your region
Nice to Have
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
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