Engineering Manager, Data Platform

Job Description

DATA ENGINEERING
What We Do
Our mission is to provide a world-class platform that empowers the business to leverage data that will enhance, monitor, and support our products. We are responsible for data ingestion systems, processing pipelines, and various data stores all operating in the cloud. We operate at a petabyte scale, and support near real-time use cases as well as more traditional batch approaches.
What You'll Do
Epic Games is looking for an Engineering Lead to guide the Data Interfaces team which is responsible for enabling users and systems to leverage our core data platform and, in turn, enable a wide variety of business use cases. The team owns the collection of operational telemetry data, the UI for interacting with the Data Platform, as well as APIs and plugins for querying data out of the Data Platform for visualization, alerting, and integration into internal services. In this role, you'll focus on growing and mentoring a high-performing team, aligning the team around our technical vision, and partnering with cross-functional teams to deliver a scalable data platform.
In this role, you will
• Lead, mentor, and grow a team of senior and principal engineers
• Foster an inclusive, collaborative, and feedback-driven engineering culture
• Drive continuous improvement in the team's processes, delivery, and impact
• Collaborate with stakeholders in engineering, data science, and analytics to shape and communicate the team's vision, strategy, and roadmap
• Bridge strategic vision and tactical execution by breaking down long-term goals into achievable, well-scoped iterations that deliver continuous value
• Ensure high standards in system architecture, code quality, and operational excellence
What we're looking for
• 3+ years of engineering management experience leading high-performing teams in data platform or infrastructure environments
• Proven track record navigating complex systems, ambiguous requirements, and high-pressure situations with confidence and clarity
• Deep experience in architecting, building, and operating scalable, distributed data platforms
• Strong technical leadership skills, including the ability to review architecture/design documents and provide actionable feedback on code and systems
• Ability to engage deeply in technical discussions, review architecture and design documents, evaluate pull requests, and step in during high-priority incidents when needed - even if hands-on coding isn't a part of the day-to-day
• Hands-on experience with distributed event streaming systems like Apache Kafka.
• Familiarity with OLAP databases such as Apache Pinot or ClickHouse
• Proficient in modern data lake and warehouse tools such as S3, Databricks, or Snowflake
• Strong foundation in the .NET ecosystem, container orchestration with Kubernetes, and cloud platforms, especially AWS
• Experience with distributed data processing engines like Apache Flink or Apache Spark is nice to have

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Jobcode: Reference SBJ-36v5mq-216-73-216-132-42 in your application.