Senior Engineer – Platform Data Engineer

CrowdStrike

. Architect, deploy, and operate core data infrastructure and platform services underpinning CrowdStrike's analytics ecosystem .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $140,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and managing data infrastructure, with a strong focus on Python programming, data modeling, and compliance standards. Proven ability to lead teams, mentor engineers, and ensure the reliability and performance of data platforms.

Highest-signal resume keywords

Python ProgrammingApache Airflow DeploymentInfrastructure-as-CodeCloud Platform ExpertiseData Security Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringCI/CD Pipeline DevelopmentSQL ExpertiseData ModelingDBT ProficiencyOpenMetadata KnowledgeTerraform ManagementKubernetes ExperienceDocker ExperienceAI Technologies Utilization

Soft Skills

Technical LeadershipMentoring

Tools & Technologies

Apache SupersetAWSGCPAzureOCI

Certifications & Qualifications

CJIS Clearance Eligibility

Industry Keywords

Data InfrastructureCompliance StandardsAccess ControlsProduction EnvironmentsInfrastructure Management

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Architect, deploy, and operate core data infrastructure and platform services underpinning CrowdStrike's analytics ecosystem
Deploy, configure, and administer Airflow and Superset in production environments
Manage infrastructure-as-code for data platform components using Terraform
Build and maintain CI/CD pipelines for platform services and data workflow deployments
Implement and enforce platform security, access controls, and compliance standards
Develop and maintain data models using DBT and catalog assets within OpenMetadata
Write efficient Python code for platform automation and data processing
Mentor junior engineers and provide technical leadership
Own the reliability, scalability, and performance of the data platform

Requirements

What you’ll need

Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status)
Bachelor's degree in Computer Science or related field
8+ years of combined infrastructure and data engineering experience
5+ years of advanced Python programming
Expert knowledge of Apache Airflow deployment and administration
Strong experience deploying and managing Apache Superset or similar BI platforms
Cloud platform expertise across AWS, GCP, Azure, or OCI including IAM, networking, and managed services
Infrastructure-as-Code proficiency
Container orchestration experience with Kubernetes and/or Docker in production
Knowledge and experience with DBT and OpenMetadata
SQL and data modeling expertise
Experience with data security and compliance requirements
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Periodically undergo and pass additional background and fingerprint checks consistent with government customer requirements

Benefits

Comp & perks

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
Bonuses
Equity grants
Health insurance
401k
Paid time off