Data Infrastructure Lead

Date Posted:

2024-10-31

Country:

United States of America

Location:

VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA

Position Role Type:

Hybrid

You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings.

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

Role Overview:

Lead the design, deployment, and operational management of the Nightwing Data infrastructure. This role is responsible for ensuring robust development and seamless operations across all data environments, supporting high-stakes, data-driven initiatives. You will guide a technical team in establishing, maintaining, and evolving the data infrastructure via the mesh paradigm, handling the entire lifecycle from architecture to troubleshooting and upgrades.

Key Responsibilities:

Infrastructure Development: Oversee the full lifecycle of infrastructure development for the Nightwing Data stack, covering design, build, test, and deployment phases.

Operations Leadership: Manage the operational stability of the data mesh, including regular upgrades, troubleshooting, and maintenance to support continuous availability and performance.

Technology Integration: Deploy data technologies such as Data Lakes, Data Warehouses (e.g AWS S3, Redshift), Streaming and Orchestration (e.g., Apache Spark/Airflow/Iceberg, AWS Kinesis, MSK, Glue) to support efficient data workflows and across distributed environments.

Data Governance & Compliance: Implement and enforce governance policies to ensure data integrity, security, and compliance across all warehouse and lake environments.

Collaboration & Support: Partner with data scientists and analysts, integrating machine learning tools into the data mesh to enhance analytical capabilities and insights.

Performance Monitoring & Optimization: Track and enhance data mesh performance metrics, focusing on query efficiency, data retrieval speed, and system resilience.

Team Leadership: Provide guidance and mentorship to the engineering team, fostering a collaborative and innovative environment that emphasizes technical excellence and reliability.

Emerging Technologies: Continuously evaluate and integrate new technologies to keep the Nightwing Data Mesh on the cutting edge of data infrastructure advancements.

Documentation & Knowledge Sharing: Develop and maintain thorough documentation of infrastructure processes and standards to facilitate knowledge sharing across the team.

Required Qualifications:

Experience: Minimum of 5+ years in data engineering, cloud engineering, or infrastructure development roles, with 3+ years in data warehouse or data lake environments.

Technical Proficiency: Expertise in integration and orchestration technologies, including Apache Spark, Airflow, Iceberg, and AWS streaming tools (Kinesis, MSK).

Cloud Ecosystem Knowledge: Extensive experience with AWS data services; familiarity with multi-cloud environments (GCP, Azure).

Leadership Skills: Proven experience leading a technical team, with strong communication skills for diverse stakeholder engagement.

Operational Expertise: Hands-on experience with infrastructure operations, including troubleshooting, upgrades, and performance optimization.

Data Governance: Strong understanding of governance, security, and compliance requirements within data environments.

Desired Qualifications:

Big Data & ETL Process Knowledge: Familiarity with big data frameworks and ETL pipeline development.

Certifications: AWS, Azure, or GCP certifications in cloud architecture or data engineering.

Industry Background: Experience in Defense, Intelligence, or related fields is highly desirable.

Education:

Bachelor’s degree in Computer Science, Data Management, or related field. Master’s or Ph.D. in relevant disciplines is a plus.

Security Clearance:

Must be a US Citizen. No clearance required at the time of hiring, but a Secret or higher clearance is preferred or the ability to obtain one.

Previously part of a leading Fortune 100 company and headquartered in Dulles, VA; Nightwing became independent in 2024 but continues to support the nation’s most mission impactful initiatives.

When we formed Nightwing, we brought a deep set of credentials and an unfaltering commitment to the mission. For over four decades, our team has been providing some of the world’s most technically advanced full-spectrum cyber, data operations, systems integration and intelligence support services to the U.S. government on its most important missions.

At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.

Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team.

The salary range for this role is 105,000 USD - 221,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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