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2 часа назад

Sr. Solutions Engineer (Financial Services)

152 300 - 209 450$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Sr. Solutions Engineer (Financial Services): Leading the growth of the Data Intelligence Platform for insurance and financial services clients with an accent on cloud platforms, data engineering, and AI. Focus on designing distributed data systems, executing proof of concepts, and guiding customers through technical implementation to achieve business outcomes.

Location: Must be based in Illinois, Massachusetts, New York, Virginia, or other East Coast locations (USA)

Salary: $152,300 — $209,450 USD

Company

hirify.global is a data and AI company that provides a Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Partner with sales teams to help customers solve business problems using the hirify.global platform.
  • Provide technical leadership for customers evaluating and adopting the Data Intelligence Platform.
  • Consult on big data architecture and execute proof of concepts for strategic customer projects.
  • Build and present reference architectures, how-to guides, and application demonstrations.
  • Promote open source projects like Apache Spark, Delta Lake, MLflow, and Unity Catalog in developer communities.
  • Travel within the assigned territory to meet with customers.

Requirements

  • Location: Must be based in Illinois, Massachusetts, New York, Virginia, or other East Coast locations.
  • 4+ years in a customer-facing pre-sales or consulting role, preferably with big-data technologies.
  • Experience designing and architecting distributed data systems.
  • Proficiency in programming and debugging in at least one of: Python, SQL, Scala, Java, or R.
  • Experience building solutions on public cloud providers (AWS, Azure, or GCP).
  • Experience with Data Engineering (Spark, Hadoop, Kafka) and Data Warehousing (SQL, OLTP/OLAP/DSS) technologies.
  • Undergraduate degree or higher in Computer Science, Applied Mathematics, Electrical Engineering, or a similar discipline.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Commitment to diversity, inclusion, and equal employment opportunity standards.
  • Opportunity to work with the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.

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