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17 часов назад

Big Data Architect (AWS, West Palm Beach)

84 000 - 108 000$
Формат работы
onsite
Тип работы
fulltime
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
Big Data Architect (AWS, West Palm Beach) (Databricks/AWS): Designing and implementing scalable Data & Analytics platforms and cloud-based data architectures with an accent on Databricks, batch and streaming workloads, and stakeholder-driven solution design. Focus on defining data models and ingestion strategies, guiding engineering teams, evaluating technologies, and delivering production platforms across the full project lifecycle.

Location: Onsite in West Palm Beach, USA

Salary: $84,000–$108,000 annual base salary, plus variable compensation

Company

hirify.global provides engineering and technology services, including Data & Analytics solutions and cloud-based data platforms.

What you will do

  • Design scalable Data & Analytics architectures using Databricks and cloud-native platform technologies.
  • Gather requirements with technical and business stakeholders and translate them into technical solutions and implementation roadmaps.
  • Define data platform architectures, data models, ingestion strategies, and source-to-target mappings for batch and streaming workloads.
  • Guide engineering teams, review solution designs, and promote data engineering best practices.
  • Contribute to technology selection, estimation, delivery planning, prototypes, and architecture decisions.
  • Create architecture documentation, technical designs, and implementation guidelines.

Requirements

  • Experience designing and delivering enterprise-scale Data & Analytics platforms as a Data Architect.
  • Strong expertise with Databricks, Apache Spark, PySpark or Spark SQL, and modern data processing frameworks.
  • Hands-on experience with scalable batch and streaming architectures, data pipelines, and cloud-based data platforms.
  • Experience with AWS, Microsoft Azure, or Google Cloud Platform.
  • Proficiency in Python, Scala, or Java, together with advanced SQL skills.
  • Experience with Databricks Workflows, Apache Airflow, or equivalent orchestration tools, plus strong stakeholder communication skills.

Culture & Benefits

  • Work across the full project lifecycle, from discovery and solution design through production implementation.
  • Participate in knowledge sharing and continuous improvement within the engineering community.
  • Variable compensation is available in addition to the base salary.

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