Sr. Scale Solution Engineer - Public Sector

Full Time
1 month ago

CSQ325R6

Mission:

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:

  • Must be a US Citizen
  • 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
 

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$85,600—$151,500 USDZone 2 Pay Range$77,000—$136,400 USDZone 3 Pay Range$72,700—$128,800 USDZone 4 Pay Range$68,500—$121,200 USD

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.BenefitsAt 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.