Robert Half
The Senior Data Architect & Analytics Lead will play a pivotal role in advancing the data infrastructure and analytics initiatives for the team. This position is designed for a seasoned professional with deep expertise in data architecture, database design, and advanced analytics. The role involves designing and implementing robust data structures, optimizing data storage and retrieval, and leveraging analytics tools to extract actionable insights that support organizational decision-making.
Key Responsibilities: Database Design & Management Design, build, and maintain relational databases, data warehouses, and multidimensional databases. Develop strategies for data acquisition, archival recovery, and database implementation. Clean and maintain databases by removing outdated data and ensuring data integrity. Data Architecture & Governance Create and maintain enterprise data models, centralized metadata registries, and data governance frameworks. Ensure alignment of data strategies with organizational goals and optimize enterprise data standards. Design and model data for cloud-based architecture solutions using platforms like Snowflake. Analytics & Insights Lead advanced analytics projects to extract insights and support strategic decision-making. Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare. Accessibility & Compliance Ensure all user interfaces for database administration, data input/output, and reporting comply with EIR Accessibility standards and assistive technologies. Collaboration & Leadership Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability. Provide thought leadership on data modeling, analytics best practices, and emerging technologies.
Required Skills & Qualifications: Experience: 10+ years in data architecture, data modeling, and data warehousing (on-prem and cloud). Proven experience with business intelligence, big data solutions, and advanced analytics projects. Strong knowledge of healthcare data standards (FHIR, CCDA, HL7 preferred). Expertise in cloud platforms (Azure, AWS, GCP) and cloud infrastructure management. Proficiency in SQL, ETL tools, data integration platforms, and APIs. Experience with EHR integration and real-time streaming. Hands-on experience with Informatica tools and Snowflake. Technical Skills: Advanced analytics tools and strategies. Python and/or Java/Scala (preferred). Familiarity with enterprise architecture practices and hybrid cloud deployments. Soft Skills: Strong communication skills for explaining technical concepts to non-technical audiences. Leadership ability to manage teams and complex projects. Consulting and facilitation skills with a customer-focused approach.
Key Responsibilities: Database Design & Management Design, build, and maintain relational databases, data warehouses, and multidimensional databases. Develop strategies for data acquisition, archival recovery, and database implementation. Clean and maintain databases by removing outdated data and ensuring data integrity. Data Architecture & Governance Create and maintain enterprise data models, centralized metadata registries, and data governance frameworks. Ensure alignment of data strategies with organizational goals and optimize enterprise data standards. Design and model data for cloud-based architecture solutions using platforms like Snowflake. Analytics & Insights Lead advanced analytics projects to extract insights and support strategic decision-making. Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare. Accessibility & Compliance Ensure all user interfaces for database administration, data input/output, and reporting comply with EIR Accessibility standards and assistive technologies. Collaboration & Leadership Work closely with data engineers, developers, and analysts to ensure seamless data accessibility and usability. Provide thought leadership on data modeling, analytics best practices, and emerging technologies.
Required Skills & Qualifications: Experience: 10+ years in data architecture, data modeling, and data warehousing (on-prem and cloud). Proven experience with business intelligence, big data solutions, and advanced analytics projects. Strong knowledge of healthcare data standards (FHIR, CCDA, HL7 preferred). Expertise in cloud platforms (Azure, AWS, GCP) and cloud infrastructure management. Proficiency in SQL, ETL tools, data integration platforms, and APIs. Experience with EHR integration and real-time streaming. Hands-on experience with Informatica tools and Snowflake. Technical Skills: Advanced analytics tools and strategies. Python and/or Java/Scala (preferred). Familiarity with enterprise architecture practices and hybrid cloud deployments. Soft Skills: Strong communication skills for explaining technical concepts to non-technical audiences. Leadership ability to manage teams and complex projects. Consulting and facilitation skills with a customer-focused approach.