TerraPower
Data Architect
$168K–$252K
Bellevue, WA · Full-time · Posted Apr 13, 2026
- Experience
- 9+ years in data architecture, data engineering, or a related technical discipline.
- Visa sponsorship
- Applicants who are foreign nationals (other than asylees, refugees, or lawful permanent residents) are evaluated under U.S. Government export control requirements. Applicants are asked to identify their U.S. citizenship or immigration status; the company may not consider applicants from a country when timely export approval is impracticable.
About the job
Leads enterprise data architecture, governance, and standards, designing a scalable Azure-based data lakehouse and integration patterns to support secure data sharing and AI-training readiness.
What you'll do
- Establish data governance, modeling, metadata, quality, and classification standards across the enterprise.
- Design and evolve the Azure data lakehouse, including ingestion, transformation, storage, and potential Data Hub architecture.
- Guide Data Engineers and collaborate across project, infrastructure, cybersecurity, and business teams on data integrations.
What they ask for
- 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 data modeling experience and proven ability to establish data governance programs.
Nice to have
- 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.
Pay
$168,316 - $252,475 USD base salary
Tools
Azure Data Factory, Azure Synapse Analytics, Azure Purview, Delta Lake, Apache Spark, Azure Data Lake Storage, Oracle, MySQL
AI focus
Develops a scalable, governed data infrastructure, potentially centered around a unified Data Hub strategy, to accelerate AI-training readiness.
Model-written summary · the original posting is authoritative