Назад
Company hidden
1 день назад

Senior Data Architect (AWS, Databricks)

Формат работы
remote (только Europe/Russia)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Poland/Armenia +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Architect (AWS, Databricks): Designing and evolving a scalable cloud data platform for a global sporting goods retailer with an accent on data ingestion, processing, and analytics workloads. Focus on defining architectural standards, implementing scalable analytics solutions, and optimizing data storage using Databricks and AWS.

Location: Hybrid or Remote within Bulgaria, Georgia, Kazakhstan, Poland, Armenia, Serbia, Romania, Cyprus, or Latvia

Company

hirify.global is a global technology company providing high-end software engineering and data services to enterprise clients.

What you will do

  • Design and evolve end-to-end data architecture on cloud platforms.
  • Define data models, pipelines, and architectural standards for analytics and reporting.
  • Lead architectural decisions for data ingestion and transformation using Databricks.
  • Collaborate with data engineers and platform teams to ensure scalability and reliability.
  • Support the implementation of data governance, security, and compliance frameworks.
  • Communicate complex architectural concepts to both technical and non-technical stakeholders.

Requirements

  • Proven experience as a Data Architect in complex data environments.
  • Hands-on experience designing data platforms on AWS.
  • Practical experience with Databricks and Spark-based data processing.
  • Strong knowledge of data modeling, data warehousing, and analytics architectures.
  • Strong programming skills in Python and SQL.
  • Professional working proficiency in French and English.

Nice to have

  • Experience with data governance or data quality frameworks.
  • Exposure to real-time or streaming data architectures.
  • Experience working with data science or machine learning teams.
  • Background in regulated or enterprise-scale environments.

Culture & Benefits

  • Vacation and sick pay provided according to the laws of your country.
  • Health insurance assistance for employees and their loved ones.
  • Time off for state holidays according to the official calendar.
  • Engaging corporate culture with large parties and frequent team get-togethers.
  • Support for professional growth through IT certifications and learning platforms.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →