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| Cloud Engineer / Data Scientist | Dec 10, 2024 | ||
| McLean, VA | |||
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Cloud Engineer / Data Scientist Job Description: Cloud Engineer / Data Scientist shaping the client's enterprise architecture, driving core to edge cloud, data-related initiatives across the client’s organization and in a team environment. Key Responsibilities: • Architecture and Integration Planning: Propose methods, tools, create deliverables for integrating community architecture solutions. • Current State Assessments: Capture, review, assess current state architecture for cloud infrastructure services & capabilities, Analytical assessments with a proposed way forward for future vision and strategy documents. • Multiple Cloud Strategy: Establish and implement mechanisms that provide for a multiple cloud architecture strategy. • Hybrid Multi-cloud Edge Solutions: Prescriptive guidance define minimum viable products (MVP) for regional, edge cloud architectures. • Long-Term Thinking: Develop data strategies that consider long-term implications, anticipating future needs and trends. • AI Integration: Explore AI and machine learning techniques in a diverse cloud environment, Analyze its impacts on architecture. Explore emerging data sources generated by AI models and propose. How they may integrate into a cloud data ecosystem. • Provide cloud "Core to Edge" implementation plans and best practices. • Provide Edge MVP launch plan documents. • Provide knowledge transfer regarding edge architecture design and strategy. • Assist Customer with identifying solutions for unique edge requirements. • Assist Customer with conducting edge requirements assessment. • Assist Customer gathering details on current state edge solutions to include architecture resiliency. • Assist Customer with application stack edge knowledge. • Provide general recommendations on maturing future state architecture and edge capabilities. • Champion a data mesh paradigm. Desired Qualifications/Experience: • Data Tagging, Taxonomy, API Brokers; Compute and Storage Optimization; Qualitative Computing. • Five or more years of experience working with or in the Intelligence Community (IC). • Knowledge of and experience working with IC policies, directives, and standards. • Data visualization tools/software (Tableau, MS PowerBI) • Develop and deliver analysis solutions and visualizations. Basic Qualifications: • Current and active TS/SCI Clearance with Polygraph is required • Masters 6 – 10 years relevant experience or Ph.D. in Computer Science, Statistics, Data Science • BS degree and 12 – 15 years of prior relevant experience. • Communication skills for technical writing and oral briefings and executive level presentation • Familiarity with cloud platforms and technologies. • Passion for staying up to date with industry trends and advancements. |
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