
Senior Data Warehouse Architect
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in United States.
• Accountable for the data architecture and database design of the Enterprise Data Warehouse, working in collaboration with other Data platform architects on the overall architecture of the data warehouse ecosystem.
• Develop logical and physical data models to address the analytical requirements of the organization, guiding and overseeing data modeling initiatives at both project and program levels.
• Establish data standards, naming conventions, and best practices for data architecture.
• Ensure that the data architecture accommodates all types of Data Sets and maintains integrity across various systems.
• Enhance data storage, indexing, and query performance for analytical workloads.
• Partner with the Data Governance team to implement data policies, including metadata management and tracking of data lineage.
• Ensure adherence to security, privacy, and regulatory standards (e.g., GDPR, HIPAA based on the industry).
• Collaborate closely with business analysts, data engineers, data scientists, and leadership to translate business requirements into technical solutions.
• Communicate architectural decisions and provide direction to development teams.
• Participate in the assessment, testing, and recommendation of new tools, platforms, and technologies (such as cloud data warehouses, BI tools, ETL & MLL frameworks, etc.).
• Remain up-to-date with trends in data architecture, cloud platforms, and big data technologies.
• Oversee data warehouse performance and address bottlenecks or data quality concerns.
• Ensure that data design reflects high availability, reliability, and scalability of the data warehouse environment.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Over 8 years of demonstrated experience in an Enterprise Data Warehouse Architect role, ideally in environments that integrate data from medical EHR systems into Data warehouse / BI platforms.
• More than 8 years of experience (as a DBA or Data Warehouse Architect) with Snowflake and/or Oracle Autonomous Database (ADB).
• At least 8 years of experience leading data modeling activities for Data Warehouse or analytical solutions.
• Extensive knowledge of database management systems (SQL & NoSQL), online analytical processing (OLAP), and ETL (Extract, Transform, Load) frameworks.
• Experience in data warehouse design (e.g., dimensional modeling) that supports multiple analytical outcomes (including Data Mining, AI, and MLL).
• Familiarity with modern BI / Information delivery technologies (e.g., Microsoft Power BI, Oracle OAS, Tableau Cloud).
• Experience with contemporary Analytical Data management platforms (Snowflake, Databricks, Azure Fabric, etc.).
• Knowledge of common Data Warehouse architecture design strategies and their appropriate applications, including medallion, data lake, data mart, ODS, etc.
• Experience integrating data from medical EHR systems and Workday financial SAAS platforms into Data warehouse / BI platforms.
• Proficient in SQL and NLQ data access techniques and methodologies.
• Exceptional organizational and problem-solving skills.
• Experience in leading analytical development programs.
• Comprehensive benefits program that is competitive with our industry peers in our geographic locations.
Railroad19
GFT Technologies
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