Payment Ops – Data Architect/Engineer – Vice Pr...
@ JPMC Candidate Experience page

Mumbai, Maharashtra, India
On Site
Full time
Posted 9 days ago

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Job Responsibilities

Payments Operations and the Payments industry are undergoing significant amounts of change and disruption – industry, technology, and organizational. It is critical to develop and execute on a strategy that will enhance the organization’s business and operational model and position it for continued success.

As a Data Domain Architect within the Strategy, Innovation & Governance Data team, you will be instrumental in developing the data architecture and strategy for Payments Operations. You will utilize your technical expertise to gather and prepare data from diverse platforms, work alongside data analytics personnel to enhance solutions, and collaborate closely with Technology, Product, and Corporate and Investment Banking data partners to execute use cases. This role provides the chance to propel innovation and insights throughout the organization, playing a key role in shaping the future state data architecture and roadmap.

Key Responsibilities:

  • Understand the data landscape across the Payments organization.
  • Leverage technical skills to source and prepare data.
  • Work closely with data analytics staff to optimize solutions.
  • Collaborate on Data Domain Architecture and resource management.
  • Research and implement use cases with Tech, Product, and CIB.
  • Evaluate and shape future state data architecture.

How to Get Hired at JPMC Candidate Experience page

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant technical skills and experience.
  • Prepare for the interview: Understand the Payments industry and JPMC's operations.
  • Showcase collaboration skills: Be ready with examples of teamwork.
  • Research JPMC: Familiarize yourself with their culture and recent projects.

📝 Interview Preparation Advice

Technical Preparation

Familiarize with SQL and ETL processes.
Practice coding in Python and PySpark.
Get hands-on with Databricks and Cloud platforms.
Review data architecture concepts thoroughly.

Behavioral Questions

Provide examples of successful team collaborations.
Discuss techniques for overcoming data challenges.
Describe how you approach problem-solving in projects.
Share experiences with adapting to changing technologies.

Frequently Asked Questions