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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. .. In this role, you will lead the design, development, and governance of enterprise-wide data architecture, ensuring scalable, high-performance solutions across transactional and analytical systems. You will establish consistent data standards, reference architectures, and best practices for cloud, data warehouse, and AI/ML platforms. Collaborating with agile teams, you will drive data modeling, integration, migration, and optimization initiatives while resolving complex technical challenges. Your work will directly influence strategic decision-making, enhance data quality, and support analytics and operational systems. This position offers the opportunity to shape data strategy, mentor engineering teams, and deliver enterprise-scale solutions in a dynamic and innovative environment.. . Accountabilities:. Develop and maintain enterprise data architecture standards, reference models, and best practices across OLTP, OLAP, MDM, and AI/ML platforms.. Design solutions for data migration, ETL processes, database optimization, and analytics projects.. Collaborate with agile teams to ensure adherence to documented architecture practices in platform development.. Troubleshoot and resolve complex technical problems in data systems, including cloud-based and on-premises environments.. Lead the creation of conceptual, logical, and physical data models and ensure alignment with business requirements.. Provide guidance on data quality, lineage, governance, and integration solutions across enterprise applications.. Evaluate and recommend technologies, frameworks, and tools to support scalable, high-availability data solutions.. . 10+ years of experience in Information Technology, with 7–10 years in data architecture roles.. 5–10 years of experience in enterprise data management, modeling, and strategy.. 5–7 years of experience with cloud database technologies.. Strong knowledge of SQL and NoSQL databases, data warehousing, and analytics platforms.. Expertise in designing ER, logical, physical, and conceptual data models.. Proficiency in ETL, batch and streaming data pipelines, and cloud-based data platforms (Azure, Data Lake, Databricks).. Familiarity with data governance, quality, lineage, and cataloging frameworks.. Excellent problem-solving, communication, and stakeholder management skills.. Preferred: experience with Kubernetes, cloud-native ecosystems, BI tools (Power BI, Qlik), and enterprise-scale system design.. Preferred: certifications in Azure Data Engineering or Databricks.. Company Location: United States.