Sr. Manager, Engineering - Data Analytics Infrastructure (Hybrid)

CrowdStrike Holdings, Inc.; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Market leader in compensation and-equ-

Equity awards

Wellness programs

Generous vacation and holidays

Parental and adoption leaves

Professional development opportunities

Employee networks and volunteering

Vibrant office culture

Job summary

CrowdStrike Holdings, Inc. is seeking a senior data platform leader to drive the design, scaling and maintenance of our data infrastructure at a massive scale.

You will mentor teams, shape architecture and hire top-tier engineers to advance our AI-native platform. Ideal candidates have 10+ years in software engineering for large data systems, deep expertise in Spark/Flink ecosystems, and proven leadership across distributed teams, with a track record of delivering high-velocity, reliable data

Qualifications

• MS in Computer Science or related field.
• 10+ years of software engineering experience in building and/or managing large scale data platforms.
• 5+ years of hands-on management experience leading distributed engineering teams.
• Experience building and supporting real time or NRT data systems of ultra high scale (MINIMUM: 100s of TB/day).
• Significant expertise in performance-tuning or developing internals within Spark, Flink, Iceberg or Pinot.
• Production experience building Spark- or Flink-based self-service data platforms or equivalents.
• Strong familiarity with Hadoop ecosystem technologies (Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid).
• Experience coding in Java, Scala, Kotlin or other JVM languages.

Responsibilities

• Lead multiple teams in the design, scaling and maintenance of data infrastructure services operating at 100s of PBs scale.
• Train, mentor and continue to hire top-tier data platform engineering talent.

Skills

Java/Scala/Kotlin

Big data platforms

Spark

Flink

Kafka

Hive/Iceberg/Delta Lake

Druid/Pinot

Postgres/MySQL

Cassandra/DynamoDB

Terraform

Ansible

Leadership

Education

MS in Computer Science or related field

Tools

Terraform

Chef/Puppet/Ansible

Job description

About the Role:

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission‑driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI‑first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

What You’ll Do:

• Lead multiple teams in the design, scaling and maintenance of data infrastructure services operating at 100s of PBs scale
• Train, mentor and continue to hire top‑tier data platform engineering talent

What You’ll Need:

• MS in Computer Science or related field
• 10+ years of software engineering experience in building and/or managing large scale data platforms
• 5+ years of hands‑on management experience leading distributed engineering teams
• Experience building and supporting real time or NRT data systems of ultra high scale (MINIMUM: 100s of TB/day in either a current or past role)
• Significant expertise in performance‑tuning or developing internals (source code) within Spark, Flink, Iceberg or Pinot or an equivalent structured streaming, Time Series, OLAP or Open Table real time system.
• Production experience building either Spark‑ or Flink‑based self‑service data platforms, or equivalent (i.e. with Ray, or building spark‑ or Flink‑like frameworks themselves in Scala, Akk, etc.)
• Strong familiarity with (and ample hands‑on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.
• Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management…)
• Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc.
• Intimate knowledge of deployment tools like Terraform and configuration automation tools like Chef/Puppet/Ansible
• Demonstrated track record of leadership and building a strong core engineering team
• Building and managing cloud and on‑premise Hadoop and Spark infrastructure which could run on bare metal or Kubernetes clusters
• Strong cross‑team collaboration and interpersonal skills working with various roles including engineering, product management, support and sales engineering
• Demonstrated ability to attract and hire talent and grow the team rapidly
• Experience working with remote teams and individuals while ensuring agility and code velocity
• Ability to communicate and articulate crisply at all levels from executive staff to engineers
• Broad general knowledge of the high‑technology industry gained in larger enterprise software environments enhanced by ongoing awareness of R&D practices / technology advances
• Proven experience utilizing AI technologies to enhance decision‑making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

• Management experience with any of the following, the more the better
• Developing compute and storage layers for data platforms at high scale (batch or near Real‑time)
• Experience with hybrid cloud environments (cloud and data center)
• Exposure to container orchestration technologies, like Kubernetes
• Experience with remote work, particularly managing distributed teams across multiple timezones

Benefits of Working at CrowdStrike:

• 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

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