Engineering Manager - Data Platform (hybrid, Gbr)

CrowdStrike CrowdStrike · Enterprise · London, United Kingdom

Engineering Manager to lead a new Data Replay & Recovery Team within the Data Platform organization. This role involves building a team and product from scratch, focusing on a self-service data replay application that leverages data within the security data lake to ensure business continuity and resiliency for downstream services. The role requires designing, developing, and maintaining a data platform processing petabytes of data, improving service efficiency, and researching new ways for internal and external customers to query data.

What you'd actually do

  1. Design, develop, and maintain a data platform that processes petabytes of data.
  2. Participate in technical reviews of our products and help us develop new features and enhance stability.
  3. Continually help us improve the efficiency of our services so that we can delight our customers.
  4. Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire.

Skills

Required

  • 3+ years of hands-on management experience leading engineering teams in a big data environment.
  • Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems,big data).
  • 7+ years' experience combined between backend/cloud development and data platform engineering roles.
  • A solid understanding of algorithms, distributed systems design and the software development lifecycle
  • Solid background in Java/Scala and a scripting language like Python.
  • Experience building large scale data pipelines
  • Strong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDB
  • Familiarity with containerized environments (Docker, Kubernetes).
  • Good test driven development discipline
  • Reasonable proficiency with Linux administration tools
  • Proven ability to work effectively with remote teams across time zones.

Nice to have

  • Go
  • Kubernetes
  • Jenkins
  • Parquet
  • Protocol Buffers/GRPC