Databricks

Compensation

Full Description

Job Description: • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's 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 • Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's 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 Requirements: • US Top Secret Clearance Required this position • 6+ years 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 • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • 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 • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Ability to travel up to 30% when needed. Benefits: • Comprehensive benefits and perks that meet the needs of all employees