Data Architect

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. 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