-Data Architect: delivering assessments, designs, and implementations focused on big data integration - importing, cleaning, transforming, validating and manipulation of large datasets with the purpose of understanding or making conclusions from the data for decision making purposes.- Maintain current ETL frameworks and methodologies using SAS, Netezza, GreenPlum, SQL and Unix Shell scripting.- Utilize standard design patterns for ETL development in a SAS, Netezza, and GreenPlum environment using SAS ACCESS, SAS Pass-Through, and SAS Data Step.- Assess the readiness of Netezza and GreenPlum environment (including the systems, tools, technologies, processes, and resource requirements) to implement the ETL solution- Grow and transfer Netezza and GreenPlum knowledge to other team members- Under general direction, works on projects/issues of high complexity that require in-depth knowledge across multiple technical areas and business segments.- Expert knowledge of Netezza platform and associated tools such as NZload, nz-migrate, nz_backup, Data export, temp table usage, and distribution keys.- Perform GreenPlum database maintanence and DB Admin responsibilities

-Provide statistical SAS programming support and validation in the production of data analyses, QC, tabulations, listings and graphs for clinical trials. -Translate business requirements into analyses and reports using SSRS, SQL, and SAS-Work with business users, analysts and QA team members in design, development and test report deliverables-Participate in edit checks design and statistical analysis plan development.-Develop Reporting Solutions using SSRS and SAS