Staff Architect

IQVIA•Wayne, PA

1d•Hybrid

About The Position

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.

Requirements

Requires a bachelor's degree in Computer Science, Computer Engineering, Electrical or Electronic Engineering, Information Technology, Mathematics, Statistics, or related field, or foreign equivalent.
Seven (7) years progressively responsible software or product development experience with a focus on architecture.
Seven (7) years utilizing Hadoop Big Data stack such as Hive, Spark, Scala, Impala, Java, Python, or similar.
Seven (7) years utilizing SQL.
Seven (7) years handling and processing large data sets (data warehouse sets with hundreds of terabytes of structured and semi-structured data).
Seven (7) years working on mainframes for legacy re-platforming work.
Two (2) years utilizing Machine Learning (ML), dockers, containerization, and microservices architecture.
Two (2) years performing private and public clouds deployment.

Nice To Haves

Less than 5% US travel to attend a workshop or training session at various IQVIA office locations.

Responsibilities

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.
Supervisory responsibilities for data engineers or related positions.