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Sr. Solutions Engineer - Digital Native Business, Strategic

3 hours, 17 minutes ago
United States
Full-time
Senior
Solutions Engineer
Data Science and Analytics
Apache Spark AWS Azure Databricks GCP Hadoop Kafka Machine Learning MLflow Pandas Python PyTorch Scikit-learn SQL TensorFlow
Apply Now
Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 146

Description

  • Partner with the sales team to provide technical leadership and explain how Databricks solves customer business problems.
  • Drive technical discovery and solution design for strategic accounts.
  • Win competitive deals and accelerate time-to-value through architecture and implementation guidance.
  • Consult on big data architectures and implement proof-of-concepts for data engineering, data science, machine learning, and SQL analytics workflows.
  • Validate integrations with cloud services, in-house tools, and third-party applications.
  • Collaborate with Solutions Architects, product teams, and the broader customer-facing team to develop solutions using Databricks platform and APIs.
  • Research and learn new technologies and their implementations on Databricks.
  • Promote and recruit contributors for open-source projects such as Spark, Delta Lake, and MLflow.
  • Work with account executives to create and execute account penetration strategies.
  • Build trusted advisor relationships with senior and executive stakeholders by communicating business value in clear, outcomes-driven terms.

Requirements

  • 4+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales/consulting role.
  • Experience building distributed data systems.
  • Comfort programming in Python and SQL, including debugging.
  • Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
  • Expertise in either data engineering technologies such as Spark, Hadoop, or Kafka, or data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.
  • Strong executive presence with the ability to influence C- and VP-level stakeholders.
  • Availability to travel to customers in your region.
  • Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research preferred.
  • Databricks Certification is a plus.

Benefits

  • Remote work flexibility; candidates in other US locations will also be considered.
  • Annual performance bonus eligibility.
  • Equity as part of the total compensation package.
  • Local pay range of $152,300 to $209,450 USD.
  • Comprehensive benefits and perks offered by Databricks, with region-specific details available through the company benefits portal.

Interested in this position?

Apply directly on the company website

Apply Now

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