Data Architect/Engineer

$138,000 - $215,625/Yr

Noblis - Bethesda, MD

Part-time,Full-time - Mid Level

Bethesda, MD

Professional, Scientific, and Technical Services

About the position

Noblis is seeking an experienced Data Architect/Engineer to join our team in the Bethesda, Maryland area. As a Data Architect/Engineer, you will play a critical role in shaping our client's enterprise architecture and driving cloud and data-related initiatives across the client's organization. Your responsibilities will span multiple areas, including strategic planning, cross-domain services, data security and compliance, data integrity, AI, and cloud platforms to enhance our customer's cloud and data ecosystem. In this role, you will contribute to the design and evolution of our client's enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals. You will develop data and cloud strategies that consider long-term implications, anticipating future needs and trends. Collaboration is key, as you will work with teams across different domains (e.g., CIO, CDO, Security) to drive data integration initiatives and foster a data-driven culture. Your expertise will be essential in analyzing current data security practices, including data transiting between differing security level enclaves, to ensure compliance with relevant regulations. You will also analyze current data structures, tagging, and quality standards, and recommend solutions to analyze data across multiple cloud platforms (e.g., AWS, Azure, Google Cloud) for optimizing storage, compute, and analytics. Additionally, you will explore data generated by AI models and recommend ways to manage and integrate them into our client's data ecosystem. As a champion of the data mesh paradigm, you will promote decentralized data ownership and self-serve analytics. You will collaborate with the client's service providers for identity, credentialing, and access management to establish, enhance, and manage data access permissions. Your recommendations will also focus on optimizing compute resources and storage solutions for efficient data processing, as well as integrating qualitative insights by understanding the context and nuances of the data.

Responsibilities

• Contribute to the design and evolution of our client's enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals.
• Develop data and cloud strategies that consider long-term implications, anticipating future needs and trends.
• Collaborate with teams across different domains (e.g., CIO, CDO, Security) to drive data integration initiatives and foster a data-driven culture.
• Analyze current and recommend data security practices, including data transiting between differing security level enclaves, to ensure compliance with relevant regulations.
• Analyze current and recommend data structure, tagging, and quality standards, and means to discover and address anomalies in data/data patterns.
• Recommend solutions to analyze data across multiple cloud platforms (e.g., AWS, Azure, Google Cloud) for optimizing storage, compute, and analytics.
• Recommend ways to leverage AI and machine learning techniques to extract insights, automate processes, and enhance decision-making.
• Explore data generated by AI models and recommend ways to manage and integrate them into our client's data ecosystem.
• Analyze current and recommend data tagging standards, enabling efficient data discovery and governance.
• Champion the data mesh paradigm, promoting decentralized data ownership and self-serve analytics.
• Collaborate with the client's service providers for identity, credentialing, and access management to establish, enhance, and manage data access permissions.
• Analyze and recommend ways to optimize compute resources and storage solutions for efficient data processing.
• Recommend methods to integrate qualitative insights by understanding the context and nuances of the data.

Requirements

• Active TS/SCI with Counterintelligence (CI) Polygraph.
• Bachelor's degree and 12 to 15 years of prior relevant experience OR Master's degree and 10 to 13 years of prior relevant experience; additional years of experience may be considered in lieu of Bachelor's degree.
• Experience with data visualization tools/software (e.g., Cameo, Visio, Tableau, MS PowerBI) to develop and deliver data analysis solutions and visualizations in support of client's needs and reporting requirements.
• Experience with architecture components and associated linkages to shape current and future IC architectures.
• Proven experience with DoD and/or IC architectures and Joint Architecture Reference Modeling.
• Strong proficiency in data manipulation and analysis.
• Possess a strong understanding of data types, modeling, and cloud architectures.
• Familiarity with cloud platforms (AWS, Azure, GCP, etc.) and big data (i.e., AI/ML) technologies and techniques.

Nice-to-haves

• Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science).
• Five or more years of experience working with or in the Intelligence Community (IC).
• Experience producing executive-level products.
• Knowledge of and experience working with IC policies, directives, and standards.
• Excellent communication skills, with the ability to translate technical insights into actionable recommendations for technical writing and oral briefings.
• Passion for staying up to date with industry trends and advancements.

Benefits

• Health insurance coverage.
• Life insurance coverage.
• Disability insurance coverage.
• Paid leave.
• Professional development opportunities.
• Tuition assistance programs.
• Work-life balance programs.