Sr. Solutions Engineer

New

Skills

Hadoop Kafka Pandas Scikit-learn Spark Sql

Job Overview

Partner with Sales to develop account strategies to grow platform usage and establish Lakehouse architecture as standard data architecture through planning. Build and present reference architectures and demos for prospects, capturing technical wins by consulting on data architectures, pipelines, and ML. Promote Databricks open-source projects (Spark, Delta Lake, MLflow) across communities.

Responsibilities
  • Develop account strategies with Sales
  • Establish Lakehouse architecture as standard
  • Build and present reference architectures and demos
  • Consult on data architectures, pipelines, and ML
  • Promote Databricks open-source projects
Requirements & Qualifications
  • 3+ years in customer-facing pre-sales/architecting/consulting role with Spark/Hadoop/Kafka
  • Big data engineering experience (Spark, Hadoop, Kafka)
  • Data Warehousing & ETL using SQL, OLTP/OLAP/DSS
  • Data Science/ML with pandas, scikit-learn, HPO
  • Translate business needs to tech solutions and gain stakeholder buy-in
  • Travel to customers up to 30% of the time

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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