Data Engineer - Data Domain Architect Associate Senior - Payment Operations

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Data Domain Architect to lead data architecture for Payments Operations, enabling analytics, metrics, and insights. You will collaborate with product, analytics, and technology teams, shaping data models, metadata, and data flows to support business needs.

The role requires deep data-domain expertise, strong communication, and problem-solving skills, and involves hands-on modeling, transformation, and collaboration with data partners across the firm.

Qualifications

• 5+ years of relevant work experience in software development, data/ML engineering, data science, BI engineering or similar.
• Bachelor’s degree in Computer Science, Financial Engineering, MIS, Mathematics or Statistics or related field.
• Strong analytical thinking and ability to translate business needs into data solutions.
• Experience with data technologies, ETL, data quality, BI/analytics tools, and machine learning is a plus.

Responsibilities

• Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities for Payments Operations.
• Define data metadata, systems of record, data quality rules, data flows, and apply firm-wide standards and controls.
• Create conceptual/logical models and inform physical data designs; consult enterprise models.
• Profile, wrangle, and prepare data; write data transformation logic in Python, PySpark or SQL.
• Analyze business processes to determine data needs and data fitness for use.
• Research emerging technologies and document their applicability to business use cases.
• Collaborate with data analytics and product owner staff to optimize solutions and foster new ideas.
• Work with Tech, Product and CIB data partners to research, define, and implement use cases.

Skills

Analytical thinking

Problem solving

Communication

Collaborative

Education

Bachelor’s degree in Computer Science/Financial Engineering/MIS/Mathematics/Statistics or related

Tools

SQL

Python

ETL tools

BI tools

Data warehousing

Databricks

Snowflake

Teradata

Oracle

Job description

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.

Job 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

Required qualifications, capabilities, and skills

• 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

This role is not remote nor hybrid; this role is 5 days a week in office.

This role is not eligible for visa sponsorship now or in the future.Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.