Customer Data Engineer - Growth

Key Skills

Apache Hadoop, Apache Kafka, AWS, Azure, Google Cloud Platform (GCP), Machine learning techniques, Pandas, Scikit-learn, SPARK Programming, SQL

Job Description

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Customer Data Engineer, you will play a critical role during this customer journey. You will directly work with customers to help them onboard and deploy Databricks in a production environment.

The impact you will have

• You will be part of a team responsible for onboarding new customers to the Databricks platform, as well as assisting existing customers to deploy new use cases on the platform.
• You will become an expert on the Databricks platform and guide customers to make the best technical decisions to achieve their goals
• You will actively work across multiple customer onboardings and track and report on their progress.

What we look for:

• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Nice to have: Databricks Certification

Benefits

• Comprehensive health coverage, including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)

Business travel accident insurance

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 Twitter, LinkedIn and Facebook.