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Data Architect

TerraPower LLC.
CompanyTerraPower LLC.
CategoryData & Analytics
LocationBellevue
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted13 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
TerraPower is a nuclear technology company based in Bellevue, Washington. At its core, the company is working to raise living standards globally through a more affordable, secure, and environmentally friendly form of nuclear energy along with innovations in medical isotopes to improve human health. In 2006, TerraPower originated with Bill Gates and a group of like-minded visionaries who evaluated the fundamental challenges to raising living standards around the world. They recognized energy access was crucial to the health and economic well-being of communities and decided that the private sector needed to take action and create energy sources that would advance global energy deployment. TerraPower’s mission is to be a world leader in new nuclear technologies, while developing innovators and future leaders in the nuclear field. As a result, the company’s activities in the fields of nuclear energy and related sciences are yielding significant innovations in the safety and economics of nuclear power, hybrid energy and medical applications – all for significant human health benefits.” TerraPower is seeking to hire highly motivated and forward-thinking professionals who are interested in focusing on advanced nuclear reactor research and development and influencing change within the nuclear power landscape and bringing forward the critical production of medical isotopes.  TerraPower is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law.    Data Architect TerraPower is searching for an experienced Data Architect to lead the design, governance, and standards of our enterprise data ecosystem. Our organization continues to add applications and data and we are looking to design and implement a scalable, governed data infrastructure, potentially centered around a unified Data Hub strategy to accelerate AI-training readiness, and to provide frictionless data-sharing and data interoperability. This role will establish the policies, patterns, and platforms that enable confident decision-making across the business. The role will work hands-on within our Azure-centric stack, primarily Azure Data Factory and Azure Synapse Analytics, while partnering closely with Data Engineers, Application, Infrastructure, and Cybersecurity resources. This is a high-impact, cross-functional role with visibility across the entire organization. Key Responsibilities Data Governance & Standards Establish and champion enterprise-wide data governance policies, standards, and best practices for data creation, storage, access, quality, and lifecycle management Define and maintain a data catalog, data dictionary, and metadata management framework Develop and enforce data classification standards in collaboration with Legal and Cybersecurity to ensure appropriate handling of sensitive and regulated data Create and own data modeling standards (conceptual, logical, and physical) across all platforms Create and own data quality and process monitoring frameworks to ensure the health, reliability, and lineage of data across the enterprise.Architecture & Design Design and evolve the enterprise data lake into a data lakehouse architecture, ensuring it supports current workloads and scales to accommodate future application acquisitions and integrations Lead the architectural design of data ingestion, transformation, and storage patterns within Azure Data Factory and Azure Synapse Analytics Define reference architectures and design patterns for data integration, ensuring new applications and data sources are onboarded consistently and securely Evaluate and recommend tools, frameworks, and emerging technologies to continuously improve the data platform Evaluate a Dat
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