Inactive
D

Databricks

Builds cloud software for data analysis and AI

Senior Solutions Engineer - AI Natives Business

Pre-Sales Solution EngineeringPosted on Nov 5
Full-timeRemote in USA

About the Job

Requirements

  • At least 4 years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
  • Experience building distributed data systems.
  • Ability to program in and debug Python and SQL.
  • Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
  • Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.
  • Availability to travel to customers in the assigned region.

Responsibilities

  • Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems.
  • Consult on big data architectures and implement proof of concepts for strategic projects involving data engineering, data science, machine learning, and SQL analysis workflows.
  • Validate integrations with cloud services, internally developed tools, and third-party applications.
  • Collaborate with fellow Solutions Architects to support one another and users.
  • Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects, including Spark, Delta Lake, and MLflow, across the developer community.

Desired Qualifications

  • A degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.
  • Databricks Certification.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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