CSQ325R19

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Data Intelligence 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:

• Private Medical and Dental
• Life Insurance
• Meal allowance
• Equity Awards
• Paid Parental Leave
• Fitness Reimbursement
• Annual Career Development Fund
• Home Office/Work Headphones Reimbursement
• Childcare Reimbursement
• Business Travel Accident Insurance
• Mental Wellness Resources

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.

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.