Customer Cloud Solutions Expert
hace 1 semana
About the Role
As a Customer Data Engineer at Databricks, you will play a critical role in empowering our customers to solve complex data problems using the Lakehouse platform.
You will directly work with customers to onboard and deploy Databricks in a production environment. Your impact will be multifaceted:
- 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.
- You will become an expert on the Databricks platform and guide customers to make informed technical decisions that align with their goals.
- You will actively collaborate across multiple customer onboardings, tracking progress and reporting key insights.
Key Requirements
- 3+ years of experience in a customer-facing technical role, preferably in pre-sales, professional services, consulting, or customer success.
- Experience in one or more of the following areas:
- 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.
- Familiarity with public cloud platforms AWS, Azure, or GCP is a plus.
- Databricks Certification is a nice-to-have asset.
About Databricks
Databricks is the leader in Unified Analytics, delivering a modern Lakehouse platform that unifies data warehousing, data engineering, and AI.
We serve over 10,000 organizations worldwide, including Comcast, Condé Nast, Grammarly, and more than 50% of the Fortune 500 companies.
Databricks was founded by the creators of Apache Spark, Delta Lake, and MLflow, and we're headquartered in San Francisco with offices globally.
Our Commitment to Diversity and Inclusion
We foster 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.
We consider individuals 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.
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