5 дней назад
Director of Data Engineering
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Director of Data Engineering (AI/ML Ops): Architecting 2K’s next-generation data platform for high-scale game telemetry, streaming services, and proactive player and business modeling with an accent on AI-integrated data processing, FinOps, and operational reliability. Focus on designing ML Ops infrastructure, optimizing cloud costs, establishing low-latency telemetry standards, and building high-performing engineering teams across a global game ecosystem.
Location: Dublin, Ireland; hybrid
Company
creates and publishes major video game franchises including NBA , BioShock, Borderlands, Mafia, Civilization, XCOM, WWE , TopSpin, and PGA TOUR .
What you will do
- Define and lead a scalable data engineering strategy across Sports, Core, and R&D game portfolios.
- Modernize data infrastructure with AI-augmented processing using platforms such as Snowflake Cortex and Databricks Genie.
- Own telemetry design, implementation, and standards for high-signal, low-latency data from game clients across titles and platforms.
- Lead FinOps practices, manage cloud infrastructure budgets, and align platform investments with measurable business value.
- Design and scale ML Ops capabilities for model deployment, monitoring, iteration, and proactive modeling.
- Build partnerships with Studio Engineering, DevOps, Commercial leadership, and Product while hiring and developing a high-performing engineering organization.
Requirements
- Extensive data engineering or software engineering experience focused on high-scale distributed systems and telemetry.
- Proven experience leading engineering teams in complex, multi-title or matrix-driven environments.
- Strong knowledge of event-driven architecture, telemetry schemas, streaming services, and feature pipelines.
- Experience managing large-scale cloud budgets and applying FinOps principles to optimize performance and cost.
- Understanding of ML Ops, SRE or DevOps principles, operational excellence, automation, and reliable infrastructure scaling.
- Demonstrated ability to build trusted relationships with technical and business partners and expand a team’s strategic influence.
Nice to have
- Experience across the full data science and ML lifecycle, including feature engineering, deployment, and monitoring.
- Full-stack development or systems architecture background.
- Experience with Unreal Engine, Unity, or proprietary game engines and their data emission.
- Experience with Snowflake Cortex, Databricks Genie, LangChain, Rust, or similar AI-integrated data platforms.
- Passion for games and a player-focused mindset.
Culture & Benefits
- Inclusive workplace focused on empowerment, support, diversity, and equal opportunity.
- Culture of technical rigor, financial accountability, innovation, and cross-functional collaboration.
- Reasonable accommodation is available for qualified individuals with disabilities during hiring and employment.
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