обновлено 10 дней назад
Associate Data Architect (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Data Architect (AWS) (Data Architecture): Designing and delivering scalable AWS data platforms, pipelines, and processing solutions with an accent on batch and streaming architectures, big data technologies, and modern data warehousing. Focus on translating business requirements into technical solutions, guiding engineering teams, and taking data architectures from discovery and PoCs through production deployment.
Location: Ukraine; remote or office work
Company
Engineering & Technology organization focused on Data & Analytics solutions.
What you will do
- Design and support scalable AWS data platforms and processing solutions for reliable analytics ecosystems.
- Develop data architectures, pipelines, and processing frameworks for batch and streaming workloads.
- Translate customer and stakeholder requirements into technical solutions, architecture decisions, and delivery plans.
- Build and optimize large-scale data processing solutions with Apache Spark, Databricks, and Flink.
- Implement orchestration workflows with Apache Airflow or MWAA and use Snowflake and Amazon Redshift for data warehousing.
- Guide engineering teams, document technical designs, and support delivery from PoCs and MVPs through production deployment.
Requirements
- Experience as a Data Tech Lead designing scalable AWS data platforms and processing solutions.
- Strong knowledge of batch and streaming data processing architectures.
- Hands-on experience with Apache Spark, Databricks, or Flink.
- Proficiency in SQL and at least one programming language, preferably Python, plus Scala or Java.
- Experience with Apache Airflow or MWAA, Snowflake, and Amazon Redshift.
- Upper-intermediate or higher English, strong communication, presentation, and stakeholder management skills.
Culture & Benefits
- Remote or office-based work format.
- Collaboration with customers, architects, stakeholders, and engineering teams.
- Opportunity to develop expertise in Data Architecture while supporting technical excellence and delivery success.
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