Engineering Manager, Data Platform
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+15 more
Job description
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., 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., * 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
Requirements
- 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
Benefits & conditions
We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
Dev Digest 120 - Apple and peers
Making Data Warehouses Fast: A Developer’s Story