Data Engineer - Data Domain Architect Associate Senior - Payment Operations

JPMorganChase • Plano, TX

1d • Onsite

About The Position

JPMorganChase’s Corporate & Investment Bank (CIB) serves corporations, governments, and institutions in more than 100 countries, providing strategic advice, capital raising, risk management, and liquidity across global markets. The CIB has $18 trillion in assets under custody and $393 billion in deposits.

As a Data Domain Architect in the Strategy, Innovation & Governance Data team within Payments Operations, you will provide data architecture leadership and strategy. You will support solutions and data engineering use cases focused on analytics, metrics, and insights across Payments Operations. The role involves close collaboration with product, analytics, and technology teams and requires data and domain expertise, problem-solving ability, and communication skills.

This role is five days a week in the office and is not remote or hybrid. It is not eligible for visa sponsorship now or in the future.

Requirements

• At least 5 years of relevant work experience as a software developer, data or machine learning engineer, data scientist, or business intelligence engineer.
• Bachelor’s degree in Computer Science, Financial Engineering, Management Information Systems, Mathematics, Statistics, or another quantitative subject.
• Analytical thinking and problem-solving skills, ability to understand business requirements, and ability to communicate complex information effectively to broad audiences.
• Experience or knowledge in at least one data technology area, such as data warehousing, ETL, data quality, business intelligence or analytical tools, unstructured data, or machine learning.
• Experience using common relational database systems such as Teradata and Oracle, with strong SQL skills.
• Cloud platform knowledge and hands-on experience with Databricks or Snowflake.
• Hands-on experience with data modeling.

Responsibilities

• Facilitate requirements definition, design, testing, and implementation of data delivery and analytical capabilities addressing Payments Operations business needs.
• Define data metadata; identify systems of record and authoritative sources; create data quality rules and data flow diagrams; and apply firm-wide standards and controls.
• Create conceptual and logical data models to describe data domains and inform physical design for data-related projects, consulting enterprise and industry models.
• Profile, wrangle, and prepare data from diverse sources for analytical efforts, and write data transformation logic using languages such as Python, PySpark, or SQL.
• Conduct business process analysis, identify data needed to support processes, and determine whether requested data is fit for use within a process.
• Research and develop with emerging technologies, assess their applicability to business use cases, and document and communicate recommended uses within the firm.
• Work with data analytics and data product owner staff to understand requirements, optimize solutions, and develop new ideas.
• Partner with Technology, Product, and CIB data partners to research, define, and implement use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior