Sr. Director, Data Platform Engineering & Operations

Key Responsibilities

• Strategic Leadership: Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.
• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.
• Optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Strong hands-on knowledge of Kafka for data streaming and real-time data ingestion.
• Expertise with Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Knowledge and experience with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.
• Proven leadership (in a prior Sr. Director level role strongly preferred) building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.