Solutions Architect (Machine Learning Engineer Practitioners)

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Solutions Architect (Machine Learning Engineer Practitioner) within the Digital Natives team, you will shape the future of the Data and AI landscape by working with the world's most sophisticated data engineering and data science teams.

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.  Reporting to Senior Manager, Field Engineering in Digital Natives.

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, and implement minimum viable products for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, homegrown 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:

• Has solid hands-on experience as a Machine Learning Engineer or Data Scientist, with knowledge of technical architectures, and/or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming 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 across EMEA region.
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

Benefits

• Private medical, dental and cash refunds for health expenses
• Life, disability and critical illness coverage
• Group personal pension with company contribution
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel accident insurance