A leading data and AI company in the United States is looking for a Sr. Solutions Engineer to partner with customers and design scalable data architectures using their technology. This role involves working closely with Sales to develop strategies that increase platform adoption and presenting technical solutions to clients. The ideal candidate will have significant experience in customer-facing roles, particularly in big data and data science, and possess strong technical skills in SQL and cloud technologies. Competitive pay range of $152,300—$209,450 plus benefits, including potential performance bonuses.
Qualifications
3+ years in a customer-facing role with technical architecture expertise.
Experience consulting on big data architectures and data engineering pipelines.
Ability to translate business needs into technology solutions.
Responsibilities
Partner with customers to design scalable data architectures.
Develop account strategies for growing usage of the platform.
Present demo applications and reference architectures to prospects.
Skills
Customer-facing pre-sales experience
Big data engineering
SQL proficiency
Data Science and Machine Learning
Fluent in Python or Scala
Education
Degree in a quantitative discipline
Tools
Apache Spark
Hadoop
Kafka
Cloud services (AWS, Azure, GCP)
Job description
A leading data and AI company in the United States is looking for a Sr. Solutions Engineer to partner with customers and design scalable data architectures using their technology. This role involves working closely with Sales to develop strategies that increase platform adoption and presenting technical solutions to clients. The ideal candidate will have significant experience in customer-facing roles, particularly in big data and data science, and possess strong technical skills in SQL and cloud technologies. Competitive pay range of $152,300—$209,450 plus benefits, including potential performance bonuses.