Lead Software Engineer - Data modeling Data governance
Lead Software Engineer - Data modeling Data governance
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology youare an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. As a core technical contributor you will focus on building a robust data infrastructure to support business objectives and enhance decisionmaking. This role combines data governance leadership with software engineering expertise to drive innovation and growth.
Job responsibilities
- Lead the design and implementation of data models and governance frameworks to ensure data quality consistency and security.
- Develop data architecture solutions for machine learning engines and analytics and oversee data migration to AWS utilizing services like Athena.
- Collaborate with crossfunctional teams to define data requirements and develop architecture solutions that support business objectives.
- Execute software solutions design and data analysis ensuring secure highquality data models and production code.
- Produce architecture and design artifacts for complex applications ensuring design constraints are met.
- Gather analyze and visualize data to drive continuous improvement of software applications and systems.
- Develop and maintain APIs using Python for data integration and create interactive dashboards with Tableau.
- Proactively identify hidden problems in data and improve coding hygiene and system architecture.
- Contribute to software engineering communities and promote a culture of diversity equity and inclusion.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Minimum 5 years of data modeling data architecture and data governance experience including Big Data Relational Databases and AWS or other Cloud based data architecture
- Hands on experience with ERwin or similar Data Modeling tool
- InDepth knowledge of data privacy regulations and compliance requirements
- Experience with PCI PII Data Classification
- Strong understanding of relational databases data warehousing and data architecture for machine learning inputs and outputs
- Familiarity with modern frontend technologies and cloud technologies
- Minimum 3 years of experience with Python Spark and AWS including full development lifecycle
- Experience with Hadoop ecosystem technologies (HDFS HBase Hive Pig Spark MapReduce Cloudera)
- Handson experience in system design application development testing and operational stability
- Solid understanding of agile methodologies JIRA SCRUM KANBAN CI/CD application resiliency Bitbucket and security
- Experience with Cassandra Kafka and other document database/distributed event streaming platform preferred
- Certification in AWS or related technologies preferred
- Understanding of Eclipse/IntelliJ Maven Jenkins GIT Control M or equivalent tools
- Experience and understanding of Java and object oriented languages/methodologies preferred
Employment Type
Full-Time
