Principal Data Architect

November 4

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Mile Two

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Human Performance • Human Machine Teaming • Custom Software Development • Cognitive Systems Engineering • Coordination and Control

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Description

• Join Our Innovative Team at Mile Two • Passionate about solving complex problems and creating cutting-edge technology solutions. • Thrive in a dynamic, collaborative environment. • Developing advanced solutions that drive innovation and efficiency across various industries. • Work on meaningful projects that challenge you and help you grow professionally. • Supportive and inclusive work environment, competitive benefits, and numerous opportunities for career advancement.

Requirements

• Demonstrated data architecture skills – examples of data architectures previously developed. • Experience, knowledge, and understanding of data mesh principles. • Experience, knowledge, and understanding of US federal data architecture standards and policies. • Experience, knowledge, and understanding of data science tools. • Demonstrated experience developing DoD data architecture. • Data serialization and deserialization experience. • Experience working in Google Cloud, AWS, and/or Azure. • Master’s Degree in one of the above listed disciplines (desired). • Demonstrated experience as a chief data officer (desired). • Demonstrated experience working with senior government officials managing competing equities of various government stakeholders (desired). • Demonstrated experience coordinating complex concepts across a diverse stakeholder population (desired). • Experience, knowledge, and understanding of Department of Defense data and data architecture policies and guidance (desired). • Demonstrated understanding of data interoperability concepts and experience implementing the same (desired). • Demonstrated skills in communicating with executive and senior level government staff, both in briefings and written documents (desired). • Experience collaborating across federal agencies and commercial companies (desired). • Experience working with openUCX framework (desired). • Experience working enterprise scale (10,000 + users) data platform (desired). • Proficiency in python (desired). • Proficiency in compiled programming language (desired). • Proficiency with SQL (desired). • Experience working with technologies like BigQuery, Spanner, Alloy (desired).