DataOps Lead

The Aerospace Corporation

DataOps Lead designing, implementing, and managing enterprise-scale data platforms at Aerospace Corporation. Leading a team to ensure high-quality data and governance across organizational initiatives.

Posted 5/1/2026full-timeChantilly • California, Virginia • 🇺🇸 United StatesSenior💰 $155,900 - $233,900 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudGoogle Cloud PlatformKafkaKubernetesSpark

About the role

Key responsibilities & impact

Establish and maintain a corporate data management platform on multiple networks including classified and hybrid environments
Lead the efforts to integrate enterprise data standards, data security, pipelines, data quality, and best practices for automated data ingestion, transformation, validation, and delivery with end user workflows, applications, and data
Develop and track KPIs and metrics
Serve as a principal technical lead coordinating data management activities with cross-functional teams to design and implement scalable, secure, and interoperable data architectures aligned with organizational goals with a focus on AI and modeling & simulation integration
Lead a team of 10 data engineers, data architects, and platform specialists; provide mentorship and career development
Leverage Agile methodologies to manage priorities, sprint planning, and cross-team collaboration
Promote DataOps best practices and work with data stewards across the organization through demonstrations, workshops, and training
Support DOD, IC, and Civil Federal govt customer dataops strategy, design, implementation activities leveraging Aerospace implementation, best practices, and lessons learned
Collaborate with other FFRDCs as needed
Research emerging tools, architectures, industry trends and standards
Champion potential opportunities to ensure Aerospace remains at the forefront of data engineering
Promote a culture of continuous improvement, knowledge sharing, and innovation in data architecture and operations

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, SW Engineering, Information Systems, or a related field (or equivalent work experience)
10+ years of experience in data engineering, data architecture, or data operations
Demonstrated ability to lead technical efforts, influence cross functional teams or mentor junior engineers
Proficiency with data engineering and orchestration tools (e.g., Apache Airflow, dbt, NiFi, Talend, Kafka, Spark, Kubernetes)
Hands on experience with cloud-based data platforms (AWS, Azure, GCP), most importantly the Azure suite of data management tools (Azure Data Factory, Synapse, Purview, etc.)
Familiarity with data governance frameworks, compliance standards, and security requirements integrated into data pipelines (e.g., NIST SP 800-171, FedRAMP, CMMC)
Demonstrated success with metadata management, master data management (MDM), and data quality frameworks to ensure trusted enterprise data assets
Strong problem-solving skills, with a strategic mindset and the ability to design and evolve enterprise-scale data ecosystems
Excellent communication skills, with the ability to bridge technical and mission-focused stakeholders across multiple constituencies
Excellent interpersonal skills, with a proven track record of fostering collaboration and knowledge-sharing across diverse teams
Demonstrated ability for innovation, creativeness, resourcefulness, and initiative
Position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government
U.S. citizenship is required to obtain a security clearance

Benefits

Comp & perks

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architecturedata operationsdata qualitymetadata managementmaster data managementdata governancecloud-based data platformsdata ingestiondata transformation

Soft Skills

leadershipmentorshipproblem-solvingstrategic mindsetcommunicationinterpersonal skillscollaborationinnovationcreativenessresourcefulness

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data EngineeringBachelor’s degree in Computer EngineeringBachelor’s degree in SW EngineeringBachelor’s degree in Information Systemssecurity clearance