Data Architect
Company: Raytheon
Location: Sterling
Posted on: October 30, 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:
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. 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:
Click on this link to read the Policy and Terms
Keywords: Raytheon, North Bethesda , Data Architect, Other , Sterling, Maryland
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