CSQ325R2
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 (Technical Services Engineer), you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.
The impact you will have
- You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.
- You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.
- You will work on multiple tactical customers to track and report their progress.
What we look for
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
- Experience in a technical role, preferably in the data or cloud field.
- Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional or academic experience in one or more of the following:
- Excellent time management and prioritization skills
- Excellent written and verbal communication
- Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)
Benefits
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Employee referral bonus
- Equity awards
- Business travel accident insurance
- Mental wellness resources
- Health Allowance
- Life, accident & disability 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.
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.