Architect Lead

LinkGroup is hiring for a senior Architect Lead role focusing on data engineering, platform architecture, and team leadership. The position involves building a scalable data platform and collaborating with multiple departments including Product, Game, Analytics, and Marketing.

• 7+ years of experience in Data Engineering, including roles as Tech Lead, Architect, Staff, or Principal Data Engineer.
• Proven track record in designing and building end-to-end data platforms.
• Strong architectural skills with ability to make, document, and defend technical decisions.
• Senior-level Python skills with capability to contribute directly to implementation.
• Strong SQL skills and solid understanding of data modeling, data warehousing, schema design, partitioning, and versioning.
• Experience with cloud platforms, preferably AWS, including S3, Kinesis, ECS, and Athena.
• Knowledge of modern data stack technologies such as dbt.
• Hands-on experience with ETL orchestration tools like 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.
• Familiarity with billions of events, real-time or near-real-time data.
• Experience with large-scale consumer products, product analytics, LiveOps, and high-volume data platforms.

• Define and own the end-to-end architecture of the data platform.
• Establish technical foundations, standards, and best practices for the platform.
• Make, document, and defend key architectural and technology decisions balancing scalability, performance, cost, and team capacity.
• Design solutions supporting hundreds of millions of users and billions of events daily.
• Build core parts of the platform hands-on and remain actively involved in implementation.
• Collaborate 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.