This position involves designing and implementing batch and real-time data collection solutions using technologies such as Python and Event Collection. The role requires collaboration with the engineering team to define system architecture, ensuring scalability and performance optimization. The candidate will influence product vision and solve complex problems for enterprise-class applications. Additionally, the role includes evaluating trade-offs between various factors to ensure the right solutions are built.

• Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field and five years of experience as a Principal Full Stack Engineer, or a Master's degree and three years of experience.
• Demonstrated expertise in architecting and building scalable Cloud-based Big Data applications in AWS.
• Experience with AWS services such as S3, EMR, Lambda, Athena, Kinesis, or EKS.
• Proficiency in maintaining Continuous Integration/Continuous Delivery (CI/CD) pipelines using tools like Jenkins, Stash, or Concourse.
• Experience in developing Unix shell scripts and creating Control-M jobs.

• Plan, create, and maintain data architectures aligning with business requirements.
• Design and develop frameworks for batch and near real-time data ingestion.
• Automate manual tasks to eliminate manual intervention.
• Support and maintain existing data processes to close gaps in datasets.
• Facilitate data cleansing, enrichment, and quality enhancements.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.