Назад
4 дня назад

Solutions Architect (Telecommunications)

219 100 - 301 300$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Solutions Architect (Telecommunications) (Databricks, Data and AI): Leading complex enterprise architecture engagements and driving adoption of the Databricks Data Intelligence Platform with an accent on distributed systems, real-time workloads, lakehouse design, and AI/ML at scale. Focus on designing multi-workload platforms and migrations, influencing executive data strategy, and orchestrating cross-functional teams to deliver enterprise solutions.

Location: Remote - Texas; candidates in other locations will also be considered. Travel to customers up to 30% of the time.

Salary: $219,100–$301,300 USD annual base salary, depending on pay zone and candidate-specific factors. Total compensation may also include an annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data and AI Platform for data science, analytics, applications, and AI agents, serving more than 20,000 organizations worldwide.

What you will do

  • Drive technical and consumption strategies for complex enterprise customer engagements.
  • Advise senior stakeholders on enterprise data and AI strategy and platform adoption.
  • Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
  • Develop competitive strategies and position Databricks against incumbent and emerging platforms.
  • Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
  • Mentor junior solutions architects and contribute to customer-facing thought leadership through content, workshops, and community engagement.

Requirements

  • 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
  • Expert coding proficiency in Python and SQL; Spark/PySpark experience is preferred for the role.
  • Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design patterns, data governance, and cloud-native platforms.
  • Expert knowledge of the Databricks Platform or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
  • Experience driving consumption growth, platform adoption, competitive displacements, and complex enterprise evaluations.
  • Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience; executive-level communication skills are required.

Nice to have

  • Databricks certifications.
  • Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data and AI company.
  • Published thought leadership, conference talks, or open-source contributions.
  • Telecommunications industry expertise with executive-level domain credibility.

Culture & Benefits

  • Customer-centric, proactive culture focused on innovation, creativity, experimentation, and continuous improvement.
  • Comprehensive benefits and perks, with details varying by region.
  • Annual performance bonus and equity may be included in total compensation.
  • Inclusive hiring practices and a diverse working environment.

Hiring process

  • Recruiter screen and hiring manager screen.
  • Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
  • Reference check.

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