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5 часов назад

Senior Data Platform Engineer (Data Cloud)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Platform Engineer (Data Cloud): Building and optimizing petabyte-scale data storage, processing, and querying platforms with an accent on high-performance interactive analytics and real-time streaming data applications. Focus on designing scalable data serving platforms, building batch and streaming data pipelines, and deploying enterprise-grade cloud infrastructure.

Location: Remote in Ontario, Canada

Company

hirify.global provides complete knowledge of what’s happening on blockchains through its data, services, and solutions, enabling organizations to navigate blockchains safely and with confidence.

What you will do

  • Help define the technical vision and evolve the data platform architecture.
  • Design, implement, and optimize high-performance, scalable data serving platforms for querying and consumption across the organization and external products.
  • Design, implement, and optimize high-performance, scalable data storage and transformation platforms for batch and stream processing with 100+ million daily updates on petabyte-scale datasets.
  • Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases.
  • Build batch and streaming data pipelines for core blockchain datasets.
  • Deploy and maintain cloud infrastructure at scale with enterprise-grade reliability, automation, and robust CI/CD pipelines.

Requirements

  • 6+ years of experience as a Data Platform Engineer or Data Engineer building and maintaining cloud-based data platforms at large scale.
  • Experience in building and maintaining both batch and streaming data pipelines using DBT/Databricks/Apache Spark/Apache Flink.
  • Deep understanding of data architecture, data modeling best practices, and modern data lakehouse architectures (e.g., Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, StarRocks, Clickhouse).
  • Expertise with AWS services, cloud architecture, fault-tolerant distributed data systems, and proficiency with Terraform.
  • Proficient with Python/Java and SQL.
  • Familiarity with data governance, data quality, and observability best practices.

Nice to have

  • Exposure to or interest in the cryptocurrency technology ecosystem.
  • Experience working with different blockchain technologies.

Culture & Benefits

  • Join a global organization with teams located in the UK, Denmark, Canada, and the USA.
  • Work with exceptionally talented teammates who are inspired by solving hard technical challenges.
  • Committed to ensuring diversity of experience and thought within the team.
  • Supportive of providing accommodations to make the interview process accessible due to a disability.

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