About this role
You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications. You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed.
10+ years of experience in Design and Implementation of Big Data technologies (Apache Spark) and familiarity with data architecture patterns is required. Deep technical knowledge and comfortable coding in Python or Scala is essential, along with familiarity with cloud deployment models.
What they're looking for
Apache SparkData EngineeringPythonScalaBig Data TechnologiesData Architecture PatternsCloud Deployment ModelsTechnical Workshops
Frequently asked questions
What does a Staff Forward Deployment Engineer at Databricks do?
You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications. You will assure that Databricks best practices are being used within all projects and that our quality of service and imple…
What skills does this Staff Forward Deployment Engineer role need?
Key skills for this role include Apache Spark, Data Engineering, Python, Scala, Big Data Technologies, Data Architecture Patterns.
How much does a Staff Forward Deployment Engineer at Databricks pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Staff Forward Deployment Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Staff Forward Deployment Engineer role?
You can apply directly on Databricks's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.