Payment Ops Data Architect/Engineer VP @ Chase- Candidate Experience page
placeMumbai, Maharashtra, India
attach_money $200,000
businessOn Site
scheduleFull time
Posted 1 month ago
Your Application Journey
Interview
Email Hiring Manager
****** @chase.com
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Job Details
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
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Review SQL and Python basics
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Practice PySpark and cloud data tools
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Explore Databricks and Snowflake platforms
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Study ETL and database management concepts
Behavioral Questions
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Describe past cross-team collaboration efforts
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Explain your problem-solving process clearly
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Discuss handling complex project requirements
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Share experiences working in agile teams
Frequently Asked Questions
What does the Payment Ops Data Architect/Engineer VP role at Chase involve?
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What technical skills are required for the Payment Ops Data Architect/Engineer VP at Chase?
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How important is experience with Agile Methodology for the Chase VP role?
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What educational background is expected for a Payment Ops Data Architect/Engineer VP at Chase?
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How does the Chase role collaborate with other teams?
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What level of experience is required for this VP role at Chase?
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What are the core data platforms or tools mentioned for the role?
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Can you elaborate on the collaboration expectations for the VP position at Chase?
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How does this role contribute to Payments Operations at Chase?
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What is the significance of data analytics in this role at Chase?
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