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Sr. 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
Sr. Solutions Architect - Public Sector (Defense Industrial Base) (Databricks Data and AI Platform): Designing and implementing distributed data architectures, proof-of-concept solutions, and cloud integrations for U.S. Public Sector customers with an accent on data engineering, data warehousing, and machine learning. Focus on leading customer-facing technical evaluations, building reference architectures and demos, and guiding 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 annual performance bonus and equity.

Company

Databricks is a data and AI company providing the Databricks Data + AI Platform for analytics, data engineering, machine learning, and AI applications.

What you will do

  • Partner with sales teams to identify customer use cases and demonstrate how the Databricks platform addresses business needs.
  • Provide technical leadership for customers evaluating and adopting Databricks.
  • Design big data architectures and implement proofs of concept for strategic customer, data science, and machine learning projects.
  • Validate integrations with cloud services and third-party applications.
  • Build and present reference architectures, how-to materials, and demo applications.
  • Promote Spark, Delta Lake, MLflow, and related open-source projects through developer communities, meetups, conferences, and webinars.

Requirements

  • U.S. citizenship is required to support 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.
  • Comfortable programming and debugging with Python and SQL.
  • Experience supporting Public Sector clients and building solutions with AWS, Azure, or GCP.
  • Experience with data engineering technologies such as Spark, Hadoop, and Kafka, plus data warehousing concepts including OLTP, OLAP, and DSS.

Nice to have

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

Culture & Benefits

  • Comprehensive employee benefits and region-specific perks.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive workplace focused on equal employment opportunities and diverse perspectives.
  • Opportunities to engage with developer communities through conferences, meetups, and webinars.

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