Data Architect || Louisville, Kentucky
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Role details
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Job description
Define and maintain enterprise data architecture standards, principles, and roadmaps. Design scalable data platforms supporting analytics, reporting, AI/ML, and operational workloads. Develop conceptual, logical, and physical data models for enterprise applications. Establish architecture patterns for data integration, master data management, and data quality. Cloud Data Platform Leadership Lead the design and implementation of cloud-based data platforms using technologies such as Snowflake, Prefect, Google Cloud Platform (Eligible to workP), Azure and Databricks Define best practices for data storage, processing, orchestration, and security. Guide migration of on-premises data assets to cloud environments. Data Engineering & Integration Architect batch, real-time, and event-driven data pipelines. Design solutions for API integrations, ETL/ELT frameworks, and data virtualization. Ensure high-performance and scalable ingestion, transformation, and consumption of data. Governance & Compliance Partner with Data Governance teams to establish metadata management, lineage, stewardship, and data quality frameworks. Ensure compliance with regulatory requirements including HIPAA, PHI, SOC, and privacy policies. Implement enterprise security and access control standards. Stakeholder Collaboration Collaborate with executive leadership, business teams, product owners, and engineering teams to translate business needs into technical solutions. Provide architecture guidance and technical oversight throughout project lifecycles. Present architecture strategies and roadmaps to senior leadership.
Requirements
Bachelor’s degree in Computer Science, Information Technology or related field Less than 5 years of technical experience Operational Data Integration for real-time APIs Big Data Integration & Analytics Must be passionate about contributing to an organization focused on continuously improving consumer experiences
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