Note: The job is a remote job and is open to candidates in USA. Databricks is the data and AI company, and they are seeking a Senior Solutions Engineer for their AI natives business. The role involves collaborating with customers and product teams to develop architectures and solutions using Databricks' platform and APIs, while providing technical leadership and consulting on big data architectures.
Responsibilities
- You will 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 and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community
Skills
- 3+ 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
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Expertise in one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
- Available to travel to customers in your region
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Databricks Certification
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks that meet the needs of all of our employees
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