At a glance
- Workplace
- Hybrid
- Location
- Dublin
About the role
- The Director of Data Engineering is a technical and strategic powerhouse responsible for architecting the data foundations that power 2K’s global ecosystem.
- This role oversees the engineering strategy, telemetry standards, and infrastructure framework that transforms raw player interactions into high-fidelity, actionable intelligence.
Responsibilities
- Lead a forward-looking data engineering vision that scales across Sports, Core, and R&D, prioritizing high-scale telemetry and proactive data modeling.
- Transition 2K’s infrastructure toward AI-augmented data processing, leveraging tools like Snowflake Cortex or Databricks Genie to automate and optimize the data lifecycle.
- Own the cloud infrastructure budget, implementing rigorous FinOps practices to monitor, manage, and optimize data processing costs.
- Evaluate technical debt versus innovation, ensuring all platform scaling is economically sustainable and tied to measurable ROI.
- Drive the strategy for telemetry design and implementation, ensuring an intimate connection between game-client events and downstream analytical value.
- Establish rigorous telemetry standards that ensure high-signal, low-latency data capture across all titles and platforms.
- Design and scale a dedicated ML Ops framework that allows Data Scientists to deploy, monitor, and iterate on AI models with industry-leading efficiency.
- Act as a key relationship builder, creating strong alliances with Studio Engineering, DevOps, and Commercial leadership to align data roadmaps with product goals.
- Partner tightly with the Director of Product of 2K Data to define and deliver upon a modern and comprehensive data strategy.
- Hire, mentor, and grow a world-class team of data engineers, telemetry specialists, and ML platform engineers.
Requirements
- Extensive experience in Data Engineering or Software Engineering, with a heavy emphasis on high-scale distributed systems and telemetry.
- Proven Success leading or managing engineering teams in complex, multi-title environments with proven track record of promoting engineers in both title and breadth of technical expertise
- Intimate knowledge of Telemetry: You understand the nuances of event-driven architecture and how to design schemas that capture the "heartbeat" of a product.
- Experience in Streaming Telemetry and Feature Pipelines: Solid understanding and experience in delivering large-scale, global data streaming services with scalable and sustainable architecture to support real-time machine learning operations and features
- FinOps Mentality: Proven ability to manage large-scale cloud budgets, optimizing for both performance and cost-efficiency.
- Master Relationship Builder: You have a track record of turning "difficult" technical partners into advocates and successfully expanding your team's strategic remit.
- Growth Mindset: Indexes toward learning through challenges and didactic learning patterns to bring about change at the individual and organizational levels.
- Experience in Matrix-driven and Product-led Environments: Able to successfully operate and thrive in matrixed environments led by product strategies and roadmaps.
- A Track Record of Operational Excellence: You have demonstrated experience upleveling global data operations and a deep understanding of SRE or DevOps principles.
Preferred qualifications
- Full-Lifecycle Data Science & ML Enablement: Comprehensive experience across the data science lifecycle, from exploratory data analysis and feature engineering to model deployment and monitoring.
- Software Engineering Background: Strong experience in full-stack development or systems architecture.
- Game Engine Expertise: Hands-on experience with Unreal Engine, Unity, or proprietary game engines, specifically regarding how they emit data.
- AI Fluency: Experience with Snowflake Cortex, Databricks Genie, Langchain, Rust or similar AI-integrated data platforms.
- Passion for games and a player-focused mindset.
Workplace
- Hybrid workplace model.
Skills
- Snowflake Cortex
- Databricks Genie
- Langchain
- Rust
- Unreal Engine
- Unity
