Staff Architect

Staff Architect, IQVIA Inc. Wayne, PA. This is a hybrid position and must work in-office 1-2 days/week. May telecommute 2-3 days/week within commuting distance of Wayne, PA office location to be able to attend meetings or work onsite when needed, often on short notice. Provide Data engineering and build data pipelines on the Data Lake/Hadoop platform (SQL/Impala, Java, Scala/Spark). Design microservices architecture and deploy on dockers in private and public clouds and containers in Kubernetes environment. Architect Machine Learning pipelines and optimize data architecture for consumption, utilization and analytics for data science, machine learning and statistical use cases. Contribute to the creation of data lake store strategy consistent with standards, principals, theories, and concepts to ensure rapid delivery. Work with data architects on logical data models and physical database designs optimized for performance, availability and reliability. Tune and optimize backend and frontend data operations. Oversee the development of continuous integration and continuous deployment methodologies through the implementation of Maven, Jenkins, Git, and Nexus to deploy the codebase. Mentor development team members and inform management of work activities and schedules. Assess new initiatives to determine work effort and estimate time to completion. Mentor and assist lower-level architects and business analysts. Create detailed documentation for deployment processes, ensuring smooth and efficient implementation. Stay updated with the latest technological trends and advancements in the industry. Requires supervisory responsibilities for data engineers or related positions. Work M-F, 8am – 5pm (EST) with occasional weekend work as needed to meet project deadlines.  Salary Range: $160,826 - $239,200/year. Requires a bachelor's degree in Computer Science, Computer Engineering, Electrical or Electronic Engineering, Information Technology, Mathematics, Statistics, or related field, or foreign equivalent. Requires seven (7) years progressively responsible software or product development experience with a focus on architecture to include seven (7) years: utilizing Hadoop Big Data stack such as Hive, Spark, Scala, Impala, Java, Python, or similar; utilizing SQL; handling and processing large data sets (data warehouse sets with hundreds of terabytes of structured and semi-structured data); working on mainframes for legacy re-platforming work; two (2) years: utilizing Machine Learning (ML), dockers, containerization, and microservices architecture; and performing private and public clouds deployment. Requires less than 5% US travel to attend a workshop or training session at various IQVIA office locations. Apply: reference job #118178. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role is $160,826 - $239,200 annually. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.