Data Engineer - Data Domain Architect Associate Senior - Payment Operations

JPMorgan Chase & Co.•Plano, TX

1d•Onsite

About The Position

JPMorganChase’s Corporate & Investment Bank (CIB) is a global leader in banking, markets, and investor services, serving corporations, governments, and institutions in more than 100 countries. With $18 trillion in assets under custody and $393 billion in deposits, the CIB provides strategic advice, capital raising, risk management, and liquidity across global markets. 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. Success in the role requires close collaboration with product, analytics, and technology teams, along with strong data/domain expertise, problem-solving ability, and communication skills.

Requirements

5+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineer
Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject
Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences
Experience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning, etc.
Experience using common relational database systems; i.e., Teradata and Oracle with strong SQL skills
Cloud platform knowledge; hands on experience with Databricks or Snowflake
Hands-on experience with data modeling

Responsibilities

Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations.
Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls.
Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models.
Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, PySpark or SQL.
Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process.
Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.
Work closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop / foster new ideas
Work with Tech, Product and CIB data partners to research, define, and implement use cases