Data Science Architect Professional Services

CSQ227R186

As a Data Science Architect (internal title - Resident Solutions Architect) in our Professional Services team you will work with customers on short to medium-term engagements to solve their toughest machine learning and AI challenges using the Databricks will deliver data science data engineering and cloud architectural design projects as a trusted advisor to our customers ensuring that they get the most value out of their data. RSAs facilitate safe scalable application of the Databricks platform across many verticals aligning to customer business objectives. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures creating how-tos and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects 3rd party migrations including end-to-end design build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers successful understanding evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team Project Manager Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for (the more the better!):

• Proficient in data science common machine learning frameworks (scikit-learn PyTorch TensorFlow etc.) and analytics with a strong track record of delivering successful projects with in-depth knowledge of industry best practices.
• Experience of productionising and optimising machine learning projects with a knowledge of MLOps principles and how to apply them.
• Experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Experience in data engineering data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS Azure GCP) with expertise in at least one
• Familiarity with CI/CD for production deployments
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time
• Preferred Databricks Certification but not essential

Required Experience:

Unclear Seniority