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Staff Forward Deployment Engineer

Databricks ·
68
AI-Agency
B65 U72
📍 Singapore, SG Staff 10+ yrs
Apache SparkPythonScalaGCPAzureAWSDelta LakeMLflow
TL;DR

Staff Forward Deployment Engineer at Databricks working with enterprise customers on big data and AI projects using Apache Spark and the Databricks platform. Hands-on technical leadership on data engineering, ML pipelines, and cloud architecture across GCP, Azure, and AWS.

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Job description

CSQ426R258

As a Staff Forward Deployment Engineer (DE/AI Spike), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Director, Professional Services.

The impact you will have:

What we look for:

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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