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Specialist Solutions Architect (AI)

157 000 - 219 775$
Формат работы
remote
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, нашего списка международных tech-компаний

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TL;DR

Specialist Solutions Architect (AI): Guiding partners to understand the hirify.global platform and articulate integrations with AWS native services to build big data solutions. Focus on data governance, data science, machine learning, streaming, performance tuning, and industry expertise.

Salary: $157,000—$219,775 USD

Company

hirify.global is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Drive adoption and grow knowledge of hirify.global products and accelerators on AWS.
  • Provide tutorials and training to improve partner community adoption.
  • Translate field trends, AWS priorities, and hirify.global product strategy into a cohesive story.
  • Provide technical leadership to guide strategic partners to successful implementations on big data projects.
  • Demonstrate thought leadership and translate customer adoption patterns.
  • Become a technical expert in areas such as the open Lakehouse, big data streaming, or data ingestion and workflows.

Requirements

  • 5+ years experience in a technical role with expertise in at least one of the following on AWS: Software Engineering/Data Engineering, Data Applications Engineering, Data Science, or Machine Learning Ops.
  • Must be able to work collaboratively and independently to achieve outcomes supporting go-to-market priorities.
  • Deep Specialty Expertise in at least one of the following areas: data governance systems, high-performance data processing systems, large-scale real-time stream processing systems, migrating and modernizing Hadoop jobs, cloud data formats, or building GenAI solutions.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • Production programming experience in SQL and Python, Scala, or Java.
  • Experience with the AWS cloud.
  • 3+ years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
  • 3+ years with system integration partner or customer-facing experience in a pre-sales or post-sales role (consultant working for a partner)
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire

Culture & Benefits

  • Comprehensive benefits and perks.
  • Commitment to fostering a diverse and inclusive culture.
  • Equal employment opportunity standards.

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