Want to get hired at Chase- Candidate Experience page?

Payment Ops Data Architect/Engineer VP

Chase- Candidate Experience page

Mumbai, Maharashtra, IndiaOn Site

Original Job Summary

Overview

Payments Operations and the Payments industry are undergoing significant change and disruption. As a Payment Ops Data Architect/Engineer VP within the Strategy, Innovation & Governance Data team at Chase, you will be instrumental in developing the data architecture and strategy for Payments Operations.

Key Responsibilities

  • Understand the data landscape across the Payments organization.
  • Leverage technical skills to source and prepare data from diverse sources including traditional databases, no-SQL, Hadoop, and Cloud.
  • Collaborate with data analytics personnel and partner with Technology, Product, and CIB data teams.
  • Partner with the Data Domain Architect lead on resource management and strategy execution.
  • Evaluate current data architecture and shape the future data roadmap.

Required Qualifications

  • 8+ years of relevant experience in software development, data/ML engineering, data science, or business intelligence.
  • Bachelor’s degree in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or a related field.
  • Strong analytical, problem-solving, and communication skills.
  • Experience with Agile Methodology and cloud platforms (Databricks or Snowflake).
  • Expertise in Traditional Database Skills including Oracle, SQL Server, strong SQL, Python/PySpark, and ETL tools like Alteryx.
  • Exposure to data visualization (Tableau/Alteryx) and data science/AI/ML concepts.

Key skills/competency

  • Payments
  • Data Architecture
  • Data Engineering
  • SQL
  • Python
  • Cloud
  • ETL
  • Agile
  • Hadoop
  • Tableau

How to Get Hired at Chase- Candidate Experience page

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor it for Payments and data roles.
  • Highlight Cloud Skills: Emphasize Databricks, Snowflake, and SQL expertise.
  • Research Chase: Understand their culture and recent innovations.
  • Prepare for Behavioral Interviews: Focus on collaboration and agility.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python basics
Practice PySpark and cloud data tools
Explore Databricks and Snowflake platforms
Study ETL and database management concepts

Behavioral Questions

Describe past cross-team collaboration efforts
Explain your problem-solving process clearly
Discuss handling complex project requirements
Share experiences working in agile teams