Назад
2 дня назад

Senior Solutions Architect - Public Sector (Defense Industrial Base)

219 100 - 301 300$
Формат работы
onsite
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

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TL;DR
Senior Solutions Architect - Public Sector (Defense Industrial Base) (Databricks Data and AI Platform): Designing and implementing distributed data, analytics, and machine learning solutions for U.S. Public Sector customers with an accent on cloud architecture, data engineering, and customer-facing technical leadership. Focus on building proof of concepts, validating integrations, presenting reference architectures, and guiding customers through adoption of Spark, Delta Lake, and MLflow.

Location: Delaware, Maryland, Virginia, or Washington, D.C.; travel to customers in the region is required.

Salary: $219,100–$301,300 USD annually, with potential performance bonus, equity, and benefits.

Company

A data and AI company providing a unified analytics platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Partner with sales teams to identify customer use cases and explain how the unified analytics platform addresses business problems.
  • Provide technical leadership as customers evaluate, adopt, and implement the platform.
  • Design big data architectures and implement proofs of concept for strategic projects.
  • Develop data science and machine learning solutions and validate integrations with cloud services and third-party applications.
  • Build and present reference architectures, technical guides, and demo applications.
  • Promote open-source projects including Apache Spark, Delta Lake, MLflow, and Koalas through developer events and technical presentations.

Requirements

  • U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers.
  • 8+ years of experience in customer-facing pre-sales, technical architecture, or consulting roles.
  • Experience designing and architecting distributed data systems.
  • Programming and debugging experience with Python and SQL.
  • Experience supporting Public Sector clients and building solutions with AWS, Azure, or GCP.
  • Knowledge of data engineering technologies and data warehousing, including Spark, Hadoop, Kafka, SQL, OLTP, OLAP, or DSS.

Nice to have

  • Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.

Culture & Benefits

  • Comprehensive employee benefits and regional perks.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Opportunity to engage with developer communities through meetups, conferences, and webinars.

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