Architect Lead

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SeniorFull-time
#448804·Dodano wczoraj·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

Data engineeringPythonSQLData modellingCloud platformAWS S3KinesisECSAWS ECSETLAirflowInfrastructure as CodeAWS

Wymagania

  • 7+ years of experience in Data Engineering, including experience as a Tech Lead, Architect, Staff or Principal Data Engineer.
  • A proven track record of designing and building data platforms end-to-end.
  • Strong architectural skills and the ability to make, document, and defend technical decisions.
  • Senior-level Python skills with direct implementation contributions.
  • Strong SQL skills and a solid understanding of data modelling, data warehousing, schema design, partitioning, and versioning.
  • Strong experience with cloud platforms, preferably AWS, including technologies such as S3, Kinesis, ECS, and Athena.
  • Experience with modern data stack technologies, e.g. dbt.
  • Hands-on experience with ETL orchestration tools such as Airflow or similar.
  • Experience with Infrastructure as Code.
  • Experience hiring, mentoring, and developing engineering teams.
  • Excellent communication and collaboration skills.

Nice to have:

  • Experience in gaming or other high-scale consumer environments.
  • Experience with billions of events, real-time or near-real-time data, large-scale consumer products, product analytics, LiveOps, and high-volume data platforms.

Obowiązki

  • Define and own the end-to-end architecture of the data platform.
  • Establish the technical foundations, standards, and best practices for a platform built from the ground up.
  • Make, document, and defend key architectural and technology decisions, balancing scalability, performance, cost, and team capacity.
  • Design solutions capable of supporting hundreds of millions of users and billions of events per day.
  • Build core parts of the platform hands-on and remain actively involved in implementation.
  • Partner with Product, Game, Analytics, and Marketing leadership to translate business needs into a clear platform roadmap.
  • Establish engineering practices, code review standards, and operational discipline.
  • Hire, mentor, and grow the Data Engineering team.
  • Ensure the platform is scalable, reliable, maintainable, and cost-efficient.
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