Digital Innovation Division DataOps Lead

About the position Responsibilities

• 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.
• Explore the integration of AI/ML-driven data management and observability tools (e.g., anomaly detection, automated schema evolution).
• 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. Nice-to-haves
• Advanced degree in STEM or other technical discipline.
• 10+ years of experience in data engineering, data architecture, or data operations, with at least 2 years in a leadership or management role.
• Certifications in cloud (AWS, Azure), DevOps, or security (CISSP, CISA).
• Direct mission experience in the national space domain, missile defense, and/or remote sensing.
• Ability to convey the value of Data Engineering work in mission relevant terms and stories.
• Current DoD TS and SSBI/SCI 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. Apply tot his job Apply tot his job

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