CSQ126R82

As a Sr. Data Engineer in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs.
• 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 strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• You will work with the technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

What we look for:

• 5+ years experience with Big Data Technologies such as Spark, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in either Python or Scala.
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• 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.