Overview:
Our client is seeking an experienced architecture savvy Cloud Engineer / Data Scientist. The candidate will play a critical role in shaping the enterprise architecture, driving core to edge cloud and data-related initiatives across the client’s organization.
Key Responsibilities:
- Architecture and Integration Planning: Propose methods & tools, and create related deliverables for integrating, and adopting community architecture solutions.
- Current State Assessments: Capture, review and assess current state architecture for cloud infrastructure services & capabilities and provide 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: Provide prescriptive guidance on defining the minimum viable products (MVP) for regional and edge cloud architectures.
- Long-Term Thinking: Develop and execute data strategies that consider long-term implications, anticipating future needs and trends.
- AI Integration: Explore AI and machine learning techniques within a diverse cloud environment and analyze its impacts on architecture. Explore emerging data sources generated by AI models and propose how they may integrate into a cloud data ecosystem.
The successful candidate must be capable of working in a team environment to:
- 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 with 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.
Required Qualifications:
- TS/SCI with CI Poly
- Masters with 6 – 10 years of prior relevant experience or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science) or 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.
- Five or more years of experience working with or in the Intelligence Community (IC).
- Passion for staying up to date with industry trends and advancements.
Skills:
- Familiarity with Data Tagging and Taxonomy; API Brokers; Compute and Storage Optimization; and 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.
- Experience with data visualization tools/software (e.g., Tableau, MS PowerBI) to develop and deliver analysis solutions and visualizations.
Compensation and Benefits
Competitive Salary:
Offering a highly competitive salary commensurate with experience.
Comprehensive Benefits Package:
Health, dental, and vision insurance.
401(k) retirement plan with company match.
Paid time off (PTO), including holidays and vacation.
Professional development opportunities.
Additional benefits to support work-life balance.