CSQ326R203
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 Lead Scale Solution 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. You will report to the Sr. Manager, Technical Services
The impact you will have
- You will be part of a team responsible for onboarding new customers to the Databricks Data Intelligence platform, as well as assisting existing customers to deploy new use cases on the platform.
- You will become an expert on the Databricks Data Intelligence platform and guide customers to make the best technical decisions to achieve their goals
- You will actively work across multiple customer onboarding and track and report on their progress.
- You will contribute to the maintenance and evolution of our catalog of services
- You will mentor new joiners to accelerate their onboarding process.
- You will collaborate with hiring managers in the interview process to conduct interviews
What we look for
- Extensive 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)
- Knowledge of at least 1 public cloud platform AWS, Azure or GCP
- Solid understanding of the end-to-end data analytics architecture and workflow.
- Excellent time management and prioritization skills Nice to have: Databricks Certification
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
- Fluent French and English
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.
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, please visit https://www.mybenefitsnow.com/databricks.
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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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
