Databricks
Data and AI
Sr.SolutionsArchitect-AINativesBusiness
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Solutions Architect - AI Natives Business at Databricks. Skills: Data Engineering, Data Science, Machine Learning, Big Data architectures, Cloud services integration. Shape the future of the big data landscape. Develop architectures and solutions using our platform and APIs”
Industry & Context.
Available to travel to customers in your region
What They're Looking For.
Must Have
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, 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) Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
Nice to Have
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), Databricks Certification
What You'll Do.
Shape the future of the big data landscape
Develop architectures and solutions using our platform and APIs
Guide customers through the competitive landscape
Develop technical champions
Partner with the sales team and provide technical leadership
Consult on Big Data architectures
Implement proof of concepts for strategic projects
spanning data engineering
data science and machine learning
and SQL analysis workflows
Validate integrations with cloud services
and other 3rd party applications
and recruit contributors for Databricks inspired open-source projects (Spark
and MLflow) across the developer community
How You'll Work.
Team & Collaboration
Collaborate with customers, product teams, and the broader customer-facing team; Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
Full Job Description
As a Solutions Architect on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: 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. What we look for: 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 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) Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow) Available to travel to customers in your region [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Nice to have: Databricks Certification Locatio
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