Data Architect
Company: Raytheon Careers
Location: Sterling
Posted on: November 9, 2024
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Job Description:
*Date Posted:*
2024-09-24*Country:*
United States of America*Location:*
VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building
CC5, Sterling, VA, 20166-6924 USA*Position Role Type:*
HybridYou 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.
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.
At Nightwing, a dynamic and rapidly growing company, we specialize
in delivering cutting-edge, tech-enabled services to the Defense
and US Intelligence sectors. Recently divested from a leading
Fortune 100 company, we are embarking on an exciting journey to
build a state-of-the-art technology stack from the ground up.
Embracing modern paradigms like data mesh and agentic AI, we are
committed to fostering innovation, agility, and excellence in
safeguarding national security.
We are seeking a visionary Data Architect to play a pivotal role in
building our new technology stack and designing innovative data
products and solutions tailored for our Defense and US Intelligence
clients. As a key member of our team, you will leverage modern data
strategies, including data mesh and artificial intelligence, to
create robust, scalable architectures that empower our clients to
harness their data assets effectively. This role is instrumental in
translating complex business needs into cutting-edge technical
solutions, ensuring seamless data integration, optimal performance,
and unwavering data integrity within our newly established tech
ecosystem.
Responsibilities:
Tech Stack Development: Lead the design and implementation of our
new technology stack, ensuring it aligns with modern data
strategies and supports our mission in national security.
Data Product Design: Develop and design innovative data products
and solutions tailored to the unique needs of our Defense and US
Intelligence clients.
Strategic Collaboration: Partner with senior management,
stakeholders, and cross-functional teams to understand evolving
business requirements and strategic objectives in a transitioning
organizational environment.
Modern Data Architecture: Implement flexible, high-performance data
architectures incorporating data mesh principles to support
decentralized data ownership and domain-oriented data
management.
AI Integration: Integrate artificial intelligence and machine
learning capabilities into data architectures to enhance data
analytics, predictive modeling, and decision-making processes.
Data Lifecycle Management: Oversee the entire data lifecycle, from
requirements gathering and design to development, testing,
deployment, and ongoing optimization.
System Integration: Ensure seamless integration of new data
solutions with existing systems and infrastructure, leveraging APIs
and microservices where appropriate.
Technical Leadership: Provide technical leadership and mentorship
to data engineering teams, fostering a culture of innovation,
continuous improvement, and excellence.
Architecture Review & Optimization: Conduct regular reviews of
existing data architectures, identifying opportunities for
optimization, modernization, and adoption of emerging
technologies.
Emerging Technologies: Stay at the forefront of data management and
architecture trends, continuously exploring and evaluating emerging
technologies, tools, and best practices.
Documentation & Standards: Document data development processes,
standards, and best practices, promoting knowledge sharing and
organizational efficiency.
Required Qualifications:
10+ years in data engineering, data governance, data analyst, or
related roles.
5+ years of hands-on experience in data architecture and
management, including designing and implementing production data
architectures.
Proficiency in data modeling, database design, and data
warehousing.
Deep understanding of data security, data governance, and data
quality principles.
Strong knowledge of cloud platforms (e.g., AWS, Azure) and
cloud-native data services.
Experience integrating AI and machine learning frameworks into data
architectures.
Experience in building and scaling new technology stacks from the
ground up.
Strong leadership and communication skills, with the ability to
articulate complex technical concepts to non-technical
stakeholders.
Adaptability and resilience in a dynamic, transitioning
organizational environment.
Desired Qualifications:
Familiarity with big data technologies (e.g. Spark, Kafka,
BigQuery, NoSQL databases).
Experience with enterprise architecture frameworks (DoDAF, TOGAF,
Zachman).
Working knowledge of data mesh principles and associated technical
applications.
Experience with AI/ML platforms and tools (e.g., TensorFlow,
PyTorch, Azure ML).
Proven track record in designing and deploying data products and
customer-focused solutions.
Experience with cloud-native architectures and services that
support scalable and resilient data solutions.
Certifications: DAMA CDMP; Cloud Data/Architect Certs (AWS, Azure,
GCP SA/PCA/DE etc.); Agile (SAFe, ACP, CSM).
Industry Experience: Success in past roles in the Defense,
Intelligence, or related sectors is highly desirable.
Education:
Bachelor's degree in Computer Science, Information Systems, Data
Management, or a related field.
Advanced degrees (Master's or Ph.D.) are a plus, particularly those
focusing on data science, architecture, or related disciplines.
Security Clearance:
Must be a US Citizen.
No clearance required at the time of hiring, but Secret or higher
clearance is preferred or the ability to obtain one.
The salary range for this role is 130,000 USD - 272,000 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.*
*Privacy Policy and Terms:*
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