Senior Principal Consultant (Enterprise Data Management)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Principal Consultant (Enterprise Data Management): Designing and implementing secure, scalable data architectures for US Government customers with an accent on modernization roadmaps and AI-enabled capabilities. Focus on operationalizing prototypes for semantic search, RAG, and building robust data pipelines.
Location: Hybrid Honolulu, HI. Must be based in Hawaii.
Salary: $140,250 - $173,250
Company
is a software provider enabling customers to develop and manage AI-powered applications and experiences with agility and ease.
What you will do
- Serve as a technical advisor to US Government customers to assess current-state data platforms and define modernization roadmaps.
- Design and implement secure, scalable architectures using Software solutions across data management, integration, search, and analytics.
- Lead hands-on delivery from proof-of-concept through production, including installation, configuration, and operational hardening.
- Build and optimize APIs and data pipelines to support mission applications using event-driven and streaming patterns.
- Collaborate with stakeholders, engineering, and product teams to translate mission needs into technical requirements.
- Support emerging AI-enabled use cases such as semantic search and Retrieval-Augmented Generation (RAG).
Requirements
- US Citizenship and Active Top-Secret clearance with Full Scope or Counter-Intelligence Poly required.
- Must be located in the United States and reside in Hawaii to support on-site requirements.
- 10+ years of hands-on experience with NoSQL, Graph (RDF triple-stores), or relational databases.
- Proficiency in programming languages such as Java, Python, JavaScript, or TypeScript.
- Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure).
- Strong background in modern source code management, CI/CD tools, and Linux administration.
Nice to have
- Web development experience with React, Vue.js, or Angular.
- Experience with BI tools like Qlik Sense, Tableau, or Power BI.
- Applied experience building and deploying ML/DL solutions and LLM-based applications.
- Familiarity with Kafka, NiFi, MuleSoft, or Boomi data integration technologies.
- Experience with Agile methodologies such as Scrum, SAFe, or Kanban.
Culture & Benefits
- Competitive base salary with an uncapped commission plan and Employee Stock Purchase Program (ESPP).
- Comprehensive medical, dental, vision, life, and disability insurance.
- 401(k) retirement savings plan and tuition reimbursement program.
- Flexible paid vacation time, paid birthday leave, and comprehensive parental leave plans.
- Employee Assistance Program (EAP) and well-being programs focusing on physical, mental, and financial health.
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