Lead Software Engineer - Data modeling / Data governance

JPMorganChase is one of the oldest financial institutions offering innovative financial solutions to consumers, businesses and prominent corporate clients under the J.P. Morgan and Chase brands.
Plano, TX, USAWilmington, DE, USA
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Lead Software Engineer - Data modeling / Data governance

JPMorgan Chase is seeking a Lead Software Engineer to join their Corporate Technology team, focusing on data modeling and governance. This role combines technical leadership with hands-on development, requiring expertise in data architecture, governance frameworks, and software engineering.

As a Lead Software Engineer, you'll be responsible for designing and implementing robust data models, ensuring data quality and security across the organization. You'll work with cutting-edge technologies including AWS, Python, and various big data tools to develop scalable solutions that support business objectives and enhance decision-making capabilities.

The role offers an opportunity to work with cross-functional teams, leading the development of data architecture solutions for machine learning engines and analytics. You'll be instrumental in establishing data governance frameworks, ensuring compliance with privacy regulations, and driving best practices in data management.

Key technical requirements include 5+ years of experience in data modeling and architecture, proficiency with Python, Spark, and AWS, and familiarity with the Hadoop ecosystem. The ideal candidate will have a strong background in data privacy regulations, experience with PCI/PII data handling, and expertise in relational databases and data warehousing.

JPMorgan Chase offers a comprehensive benefits package including competitive salary, healthcare coverage, retirement plans, and continuous learning opportunities. The company's commitment to innovation, combined with its 200-year history in financial services, provides a unique environment for professional growth and impact.

This position is based in either Plano, TX or Wilmington, DE, and offers the chance to work with market-leading technology products while contributing to the success of a global financial institution. Join our team to push the limits of what's possible in data engineering and governance while building solutions that serve millions of customers worldwide.

Last updated 5 hours ago

Responsibilities For Lead Software Engineer - Data modeling / Data governance

  • Lead the design and implementation of data models and governance frameworks
  • Develop data architecture solutions for machine learning engines and analytics
  • Collaborate with cross-functional teams to define data requirements
  • Execute software solutions, design, and data analysis
  • Produce architecture and design artifacts for complex applications
  • Gather, analyze, and visualize data to drive continuous improvement
  • Develop and maintain APIs using Python for data integration
  • Create interactive dashboards with Tableau
  • Proactively identify hidden problems in data

Requirements For Lead Software Engineer - Data modeling / Data governance

Python
Java
Cassandra
Kafka
  • 5+ years of data modeling, data architecture and data governance experience
  • Hands on experience with ERwin or similar Data Modeling tool
  • In-Depth knowledge of data privacy regulations and compliance requirements
  • Experience with PCI, PII, Data Classification
  • Strong understanding of relational databases and data warehousing
  • Minimum 3 years of experience with Python, Spark, and AWS
  • Experience with Hadoop ecosystem technologies
  • Hands-on experience in system design and application development
  • Solid understanding of agile methodologies

Benefits For Lead Software Engineer - Data modeling / Data governance

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Education Budget
Parental Leave
  • Competitive base salary
  • Commission-based pay
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

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