Senior Director, Data Engineering

CrowdStrike

full-time

Posted on: 9/30/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $210,000 - $300,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftApacheAWSAzureCloudERPGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

Define and execute the enterprise data engineering roadmap aligned to business and technology strategy
Act as a hands-on leader, actively participating in architecture reviews, pipeline design, and technical troubleshooting
Build, mentor, and scale a global data engineering team with a focus on excellence and innovation
Lead design and implementation of integrations and data curation efforts related to Sales, Marketing platforms, Finance/ERP, and other enterprise applications
Architect and deliver secure, scalable data pipelines to support analytics, AI, and business reporting
Implement modern data protocols (e.g., MCP) to enable AI-driven workflows
Partner with Data Scientists to ensure high-quality, curated datasets are available for modeling and experimentation
Deliver frameworks that provide consistent GTM, Customer Success, Finance and other executive metrics
Ensure trusted data availability for dashboards, KPIs, and advanced analytics use cases
Translate business objectives into scalable technical data solutions

Requirements

15+ years of experience in data engineering, enterprise integrations, and analytics platforms
7+ years in senior leadership roles
Demonstrated hands-on leadership—capable of guiding design/architecture while engaging in solutioning when necessary
Deep expertise with Sales, Marketing tech stacks, Finance/ERP systems, and enterprise-grade integrations
Proven ability to deliver scalable solutions for high-volume data ingestion and product analytics
Strong track record of supporting AI/ML and Data Science teams through advanced data infrastructure
Experience managing global, distributed engineering teams in high-growth environments
Excellent communication skills with the ability to bridge business priorities and technical execution
Bachelor’s or Master’s in Computer Science, Engineering, or related field; MBA a plus
Experience working for a SaaS security company and building Product adoption metrics is preferred
Cloud Data Warehouses: Snowflake, Amazon Redshift (experience optimizing high-volume data environments)
Orchestration & Workflow Tools: Apache Airflow, DBT (data build tool)
Integration Platforms: iPaaS solutions (e.g., MuleSoft, Workato, Boomi, N8N) and open-source integration frameworks
Data Ingestion & Processing: Expertise in designing high-volume, real-time and batch ingestion pipelines (Kafka, Kinesis, Spark, or equivalent)
Programming & Data Engineering: Proficiency in SQL, Python, and modern data modeling approaches
Cloud Platforms: AWS, GCP, or Azure, with strong understanding of data services and scaling strategies

Benefits

Remote-friendly and flexible work culture
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
Health insurance
401k
Paid time off
Eligibility for bonuses and equity grants

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringenterprise integrationsanalytics platformsdata ingestiondata processingdata modelingAI/ML supporthigh-volume data environmentsreal-time ingestion pipelinesbatch ingestion pipelines

Soft skills

hands-on leadershipcommunication skillsmentoringteam scalingsolutioningbridging business and technical executioninnovationcollaborationguiding design/architectureexecutive metrics delivery

Certifications

Bachelor’s in Computer ScienceMaster’s in EngineeringMBA