DataOps Platform Development
Integrate enterprise data standards, pipelines, and best practices for automated data ingestion, transformation, validation, and delivery with end user workflows, applications, and data
Work with cross-functional teams to design and implement scalable, secure, and interoperable data architectures aligned with organizational goals
Deploy and extend data platforms across multiple environments, including classified networks, cloud, and hybrid infrastructures
Establish processes to ensure data quality, lineage, and compliance throughout the data lifecycle (ingest → curate → consume)
Collaborate with InfoSec and compliance teams to maintain adherence to data governance and regulatory frameworks (e.g., NIST, ISO, FedRAMP)
Implement metadata management, master data management, and access control policies to safeguard sensitive information in our DataOps Platform
Collaboration to select, configure, and maintain tools for data pipeline orchestration, real-time streaming, and scalable storage
Collaboration to drive adoption of modern cloud-native and integrate data services where appropriate
Collaboration to integrate the enterprise data management platform with the AI/ML platform to enable seamless data access, feature engineering, and model training at scale
Collaboration to integrate the enterprise data management platform with the COTS and custom developed analytical applications to enable seamless data access, analysis, lineage and reuse
Optimize resources to maximize uptime, reliability, and performance of the enterprise data ecosystem
Develop and track key data metrics and KPIs (e.g., data quality scores, pipeline reliability, data delivery SLAs)
Integrate DataOps processes with corporate governance standards to ensure transparency, repeatability, and efficiency
Establish feedback loops with data consumers to continuously improve performance, trust, and usability of data products
Lead a team of 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
Stay current with emerging tools, architectures, industry trends and standards to ensure the organization remains at the forefront of data engineering
Champion a culture of continuous improvement, knowledge sharing, and innovation in data architecture and operations

Requirements

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, with at least 2 years in a leadership or management role
Proficiency with data engineering and orchestration tools (e.g., Apache Airflow, dbt, NiFi, Talend, Kafka, Spark, Kubernetes)
Strong understanding of 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)
Experience 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
Exceptional 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
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

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

Applicant Tracking System Keywords

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

Hard skills

data engineeringdata architecturedata operationsmetadata managementmaster data managementdata quality frameworksdata ingestiondata transformationdata validationdata delivery

Soft skills

problem-solvingstrategic mindsetcommunicationinterpersonal skillscollaborationmentorshipleadershipcontinuous improvementknowledge sharinginnovation

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