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Architect Lead

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  • Vzdialená práca
  • 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 – must-have. You should be comfortable contributing directly to implementation.
  • 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 will be highly valued, particularly experience with:
    • billions of events,
    • real-time or near-real-time data,
    • large-scale consumer products,
    • product analytics,
    • LiveOps,
    • high-volume data platforms.
    ,[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.]

    Requirements:

    Data engineering, Python, SQL, Data modelling, Cloud platform, AWS S3, Kinesis, ECS, AWS ECS, ETL, Airflow, Infrastructure as Code, AWS
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