Engineering Manager - Data Platform

Engineering Manager - Data Platform

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
CrowdStrike Holdings, Inc.

At a Glance

  • Tasks: Lead a new Data Replay & Recovery Team to build impactful data applications.
  • Company: Join a market leader in cybersecurity with a vibrant and inclusive culture.
  • Benefits: Competitive pay, wellness programs, generous leave, and professional development opportunities.
  • Other info: Great office amenities and a commitment to diversity and inclusion.
  • Why this job: Shape the future of data platforms and make a real difference in security.
  • Qualifications: 3+ years managing engineering teams and 7+ years in big data roles.

The predicted salary is between 80000 - 100000 £ per year.

About the Team

The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the Falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems.

About the Role

We’re growing and we’re looking for a passionate and experienced Engineering Manager to lead a brand-new Data Replay & Recovery Team within our Data Platform organization. This is an opportunity to build a team and product from the ground up — defining the charter, shaping the technology, and delivering a critical data replay application that directly impacts the reliability and resilience of our platform. You’ll collaborate with talented engineers across Data Platform, ML Platform, and DevOps teams, working on large-scale distributed systems that matter.

What You’ll do

  • Design, develop, and maintain a data platform that processes petabytes of data.
  • Participate in technical reviews of our products and help us develop new features and enhance stability.
  • Continually help us improve the efficiency of our services so that we can delight our customers.
  • 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.

What You’ll need

  • 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.

Desired tools: Go, Kubernetes, Jenkins, Parquet, Protocol Buffers/GRPC.

Benefits

  • Market leader in compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holidays for recharge.
  • Paid parental and adoption leaves.
  • Professional development opportunities for all employees regardless of level or role.
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
  • Vibrant office culture with world class amenities.
  • Great Place to Work Certified™ across the globe.

Equal Employment Opportunity

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy‑related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay‑offs, return from lay‑off, terminations and social/recreational programs—on valid job requirements.

Engineering Manager - Data Platform employer: CrowdStrike Holdings, Inc.

CrowdStrike is an exceptional employer, offering a vibrant office culture and world-class amenities that foster collaboration and innovation. With a strong commitment to employee growth through professional development opportunities and comprehensive wellness programs, we ensure our team members are valued and empowered to succeed. Join us in a role that not only impacts the reliability of our platform but also contributes to a mission-driven environment dedicated to stopping breaches and protecting customers.

CrowdStrike Holdings, Inc.

Contact Details:

CrowdStrike Holdings, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering Manager - Data Platform

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.

Tip Number 2

Prepare for interviews by diving deep into the company’s tech stack and recent projects. Show us you’re not just a fit for the role but also genuinely interested in what we do. Tailor your questions to demonstrate your knowledge!

Tip Number 3

Practice makes perfect! Run through common interview questions with a mate or in front of the mirror. The more comfortable you are talking about your experience and skills, the better you'll come across during the real deal.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team and ready to contribute to our mission.

We think you need these skills to ace Engineering Manager - Data Platform

Team Leadership
Big Data Engineering
Data Platform Development
Java
Scala
Python
Data Pipeline Construction

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in big data environments and team leadership. We want to see how your skills align with our mission to build a robust data platform.

Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Mention your experience with Java, Scala, and any big data tools you’ve worked with. We’re keen to know how you can contribute to our data processing capabilities.

Highlight Team Collaboration:Since this role involves working with various teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can work effectively across different time zones and disciplines.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at CrowdStrike Holdings, Inc.

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Scala, and the Apache Hadoop ecosystem. Brush up on your knowledge of big data tools and be ready to discuss how you've used them in past projects.

Showcase Your Leadership Skills

As an Engineering Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed engineering teams, resolved conflicts, and fostered collaboration in a remote setting. Highlight any successful projects where your leadership made a difference.

Prepare for Technical Reviews

Expect to participate in technical discussions during the interview. Be ready to explain your thought process behind designing scalable data pipelines or improving system efficiency. Practise articulating your ideas clearly and confidently.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the team’s goals, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.