About The Position

As a Sr. Solutions Engineer on the Digital Natives (DNB) team, you’ll help shape the future of Data and AI by working with top data engineering, data platform, and ML / AI teams. In the 12+ month Digital Natives SA Residency Program, you’ll gain hands-on experience through immersive rotations with your team of seasoned Solutions Architects, focusing on strategic Digital Native accounts. This program is designed to develop mid-level technologists into skilled Solutions Architects, with each rotation emphasizing collaboration, continuous learning, and problem-solving. Reporting to the Field Engineering Manager, you'll work with customers, product teams, and others to build architectures, guide implementations, and develop technical champions.

Requirements

  • 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.

Nice To Haves

  • Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
  • Databricks Certification.

Responsibilities

  • Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • Consult on Data & AI architectures, implement proof of concepts for strategic projects, spanning the Databricks platform and broader Data and AI ecosystem.
  • Collaborate with fellow Solutions Architects, using skills to support each other and customers.
  • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, Unity Catalog, and MLflow) across the developer community.

Benefits

  • Comprehensive benefits and perks that meet the needs of all employees.
  • Eligibility for annual performance bonus.
  • Equity.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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