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Senior Data Architect (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Architect in the United States.. We are seeking a Senior Data Architect to drive enterprise-wide data strategy, design, and implementation across complex operational and analytical environments. In this role, you will define reference architectures, establish consistent data standards, and create innovative solutions for cloud-based data platforms, data lakes, and warehouses. You will work closely with cross-functional teams to ensure best practices are applied in data platform development, data migration, and analytics projects. The ideal candidate thrives in a collaborative, fast-paced environment, translating business requirements into scalable, high-performance data architectures that empower decision-making and AI/ML initiatives.. Accountabilities. . Define and implement enterprise data architecture, including OLTP, OLAP, MDM, and AI/ML technologies.. . Establish data standards, reference architectures, patterns, and best practices across the organization.. . Collaborate with agile teams to ensure data platform development adheres to established architectural principles.. . Design, develop, and optimize data solutions for analytics projects, data migration, and enterprise applications.. . Create and maintain conceptual, logical, and physical data models for operational and analytical systems.. . Ensure data quality, lineage, cataloging, and governance are integrated into all solutions.. . Troubleshoot complex data-related issues and provide solutions for performance, scalability, and high availability.. . Provide guidance on database technologies, both SQL and NoSQL, for cloud-native and on-premise environments.. . Communicate the value and strategy of data architecture to stakeholders and senior management.. . . 10+ years of experience in information technology, with 7–10 years as a data architect.. . 5–10 years of experience in enterprise data architecture, data modeling, data management, and strategy.. . 5–7 years of experience with cloud database technologies.. . Expertise in designing ER, logical, physical, and conceptual data models for enterprise systems.. . Proficiency in batch and streaming data ingestion, data lakes, data warehouses, and analytics platforms.. . Strong knowledge of SQL, NoSQL, Azure Data Platform, Databricks, ETL processes, and MDM.. . Experience with data governance, data quality, lineage, and cataloging frameworks.. . Familiarity with business intelligence tools such as Power BI or Qlik.. . Excellent communication and interpersonal skills for interacting with technical and non-technical stakeholders.. . Preferred: Azure or cloud certifications, Kubernetes, cloud-native ecosystem experience, Informatica IICS, and knowledge of agency management systems.. . Company Location: United States.