Infrastructure Security Architect and Data Scientist

Infrastructure Security Architect and Data Scientist For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you will apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for an experienced data architect to deliver leading-edge solutions for national security and network hardening priorities. On our team, you’ll use your leadership skills and data architecture or security engineering expertise to create real-world impact. You’ll work closely with clients to understand their security requirements and then dig into their data-rich ecosystems to harden their IT environment. You’ll support teammates and lead the security development of algorithms and systems, leveraging the right combination of tools and frameworks to turn sets of disparate data points into objective answers that advise clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of data security, its implications, and how it can be used. Responsibilities Lead the design, development, and implementation of secure data architectures and related security controls for national security and network hardening customers. Collaborate with clients to assess security requirements and translate them into data-centric solutions. Develop and maintain secure data pipelines, integrate enterprise systems, and ensure data integrity and confidentiality. Advise clients on the secure use of data, including privacy, compliance, and risk mitigation. Mentor and support teammates in secure data engineering practices. Qualifications 3+ years of experience with statistical and general-purpose programming languages for data analysis. 3+ years of experience analyzing structured and unstructured data sources. Experience with data exploration, cleaning, analysis, visualization, or mining. Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources. Experience with natural language processing, text mining, or machine learning techniques. Experience with REST APIs, webhooks, and automation middleware. Experience integrating enterprise systems such as Jira, Confluence, APIs, or in-house platforms. Knowledge of AI and ML workflows leveraging existing AI and ML tools. TS/SCI clearance. Bachelor’s degree. Nice to Have Experience developing algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL. Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. Experience with visualization packages such as Palantir, Plotly, Seaborn, or ggplot2. Master’s degree. Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance is required. Benefits At Booz Allen, we celebrate your contributions, providing health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Our recognition awards program acknowledges employees for exceptional performance. For more information, visit our Careers site and review Our Employee Benefits page. Salary range: $99,000.00 to $225,000.00 (annualized USD). Posting will close within 90 days from the posting date. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Booz Allen Hamilton