Remote Migrations Architect

Summary

Join Databricks' Professional Services team as a Migrations Architect (Big Data) and work on short-to-medium-term customer engagements. You will leverage the Databricks platform to address big data challenges, providing data engineering, data science, and cloud technology solutions. Responsibilities include leading migrations from on-prem and cloud systems to Databricks, designing reference architectures, and guiding customers through transformational big data projects. You will collaborate with internal and external teams to ensure successful project delivery and provide escalated support. This role requires extensive experience in data engineering, cloud migrations, and working with clients. The position involves up to 30% travel.

Requirements

• 10+ years experience in data engineering, data platforms & analytics
• 8+ years of experience in a customer-facing role
• Experience specifically in planning and executing complex migrations to the cloud
• Experience in leading and driving migration workshops working by hand in hand with partners and end customers
• Experience working across a global partner ecosystem to leverage external expertise and tooling to migration legacy data solutions to the cloud
• 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
• Ability to travel up to 30% when needed

Responsibilities

• Position, size, scope and deliver the migrations from on-prem and cloud source systems to Databricks
• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to', and productionalizing customer use cases
• Work with engagement managers to scope a variety of professional services 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 customer's 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
• Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects