> Markdown version of [/jobs/ext/4011764-data-architect](https://www.wearedevelopers.com/jobs/ext/4011764-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** TerraPower LLC. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $168,316 - $252,475 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Cloud Computing, Cyber Security, Databases, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Data Hub, Data Infrastructure, Data Integration, Data Mapping, Data Security, Software Design Patterns, Digital Architecture, Medical Software, PostgreSQL, Meta-Data Management, Metadata Repositories, Microsoft SQL Server, MySQL, NoSQL, Oracle (Applications), Azure Data Lake, SQL Databases, Data Streaming, Azure Service Bus, Data Classification, Data Ingestion, Microsoft Power Automate, Azure Data Factory, Apache Spark, Data Lakes, Collibra, Data Management, Azure Synapse Analytics, Serverless Computing, Data Generation - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-architect-bellevue-wa--43971f90-72ff-4441-8fc7-2b10d6d15deb ## About the Role 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., Required * 9+ years of experience in data architecture, data engineering, or a related technical discipline. * Demonstrated experience designing and governing enterprise data lakes or large-scale data platforms. * Deep hands-on expertise with Azure Data Factory and Azure Synapse Analytics (dedicated sql pool and serverless). * Strong experience with data modeling (relational, dimensional, and NoSQL data models). * Proven ability to establish and drive data governance programs including metadata management, master data management, data quality, and lineage. * Experience collaborating with security and infrastructure teams to implement compliant, secure data architectures. * Excellent written and verbal communication skills; ability to present complex technical concepts to non-technical stakeholders. Preferred * Experience with Azure Purview or a similar enterprise data catalog / governance platform * Familiarity with Delta Lake, Apache Spark, or similar open-source data processing frameworks within a cloud environment. Familiarity with Azure Data Lake Storage, various database platforms (Oracle, MySQL, SQL Server, Postgres, Cosmos), Fabric, Azure Service Bus, Event Hubs, and Logic Apps * Exposure to application acquisition and data integration onboarding processes * Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) and their architectural implications. * Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect Expert or related Azure certification. Experience in a multi-project or program environment with competing priorities. Job Functions: Job Functions are physical actions and/or working conditions associated with the position. These functions may also constitute essential functions for the job which the employee must be able to fulfill, with or without accommodation. Information provided below is to help describe the job so that the applicant has a reasonable understanding of the job duties/expectations. An applicant's ability to perform and/or tolerate these actions and conditions will be discussed and workplace accommodations may be made on a case-by-case basis following an individualized assessment of the applicant and other considerations, including but not limited to any governing safety standards. * Motor Abilities: Sitting for extended periods, bending/stooping, grasping/gripping, fine motor control (hands) * Physical exertion and/or requirements: Minimal, with ability to safely lift up to 25 pounds. ## Description 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., 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 Data Hub architecture to streamline the exchange of data between operational applications and the analytical lakehouse, reducing point-to-point integration complexity Cross-Functional Collaboration * Partner with the Infrastructure Architect to align data platform design with infrastructure, networking, and cloud resource management strategies * Work with Cybersecurity to implement data access controls, encryption standards, auditing, and compliance requirements * Guide and mentor a team of Data Engineers, providing technical leadership, reviewing designs, and ensuring adherence to architectural standards * Collaborate with project teams and business stakeholders across multiple concurrent projects to define data requirements and integration approaches for new and acquired applications Project & Integration Support * Serve as the data architecture lead across multiple simultaneous projects, providing guidance from initiation through deployment. * Define repeatable integration patterns for acquired applications being onboarded into the company data lake, including data mapping, transformation logic, and quality validation. * Document architecture decisions, data flows, and integration specifications to maintain a clear and accessible architectural record.