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Data Engineer - Data Domain Architect Associate Senior - Payment Operations
Analytics
Big Data
Bigdata
Business Intelligence
Business Systems
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Science
Data Warehouse
Data Warehousing
Database
Databases
Databricks
Digital Marketing
ERP
ETL
Financial Software
Hr Technology
Informatica
Information Technology (IT)
Oracle
Product Management
Programming Languages
Software Development
SQL
Teradata
Job Description
Lead data architecture and delivery strategy for Payments Operations, partnering across product, analytics, and technology to enable analytics, metrics, and data-driven insights.
Responsibilities
- Drive end-to-end requirements to delivery for new data and analytics capabilities aligned to Payments Operations business needs, including design, testing, and implementation
- Define domain data strategy: establish metadata, identify systems of record and authoritative sources, and create data quality rules
- Create data flow diagrams and apply firm-wide standards and controls for data delivery
- Develop conceptual and logical models for a defined domain of data and use them to guide physical design for data-related initiatives, leveraging enterprise and industry models
- Profile, wrangle, and prepare data from multiple sources to support analytics; implement data transformation logic using Python, PySpark, or SQL
- Perform business process analysis to determine what data is required and assess data fit for use within the process
- Conduct R&D on emerging technologies, evaluate applicability to business use cases, and document and communicate recommended approaches across the firm
- Collaborate with data analytics and data product owner teams to understand requirements and optimize solutions; contribute to new ideas
- Partner with Tech, Product, and CIB data partners to research, define, and implement relevant use cases
Requirements
- 5+ years of relevant experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer
- Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject
- Analytical thinking and problem-solving skills, with the ability to interpret business requirements and communicate complex information to broad audiences
- Experience or knowledge in at least one data technology area such as data warehousing, ETL, data quality concepts, Business Intelligence tools/analytical tools, unstructured data, or machine learning
- Experience with relational databases and strong SQL (for example, Teradata and Oracle)
- Cloud platform knowledge, with hands-on experience using Databricks or Snowflake
- Hands-on experience with data modeling
Technologies
- Python, PySpark, SQL
- Data warehousing, ETL
- Business Intelligence tools, analytical tools
- Unstructured data, machine learning
- Teradata, Oracle
- Databricks, Snowflake
Team
- J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments
Location: Plano, TX (onsite)
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