Senior Data Engineer & Domain Architect — Payments Ops

JPMorgan Chase; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Data Domain Architect within the Strategy, Innovation & Governance Data team in Payments Operations. The role focuses on data architecture leadership, analytics, and data engineering use cases across Payments Operations.

Collaboration with product, analytics, and technology teams is essential. Candidates should have 5+ years of data/engineering experience, strong SQL, data modeling, and cloud experience with Databricks or Snowflake.

Qualifications

• 5+ years of relevant work experience in data/engineering roles.
• Bachelor's degree in a quantitative field.
• Analytical thinking and ability to communicate complex information.
• Experience with data technologies (ETL, data warehousing, BI, ML).
• Strong SQL skills with Teradata and Oracle.
• Cloud knowledge with Databricks or Snowflake.
• Hands-on data modeling experience.

Responsibilities

• Facilitate requirements definition, design, testing, and implementation of data delivery and analytics.
• Define data metadata, sources, quality rules, and data flow diagrams.
• Create conceptual and logical models to inform physical design.
• Profile, wrangle, and prepare data from diverse sources; write transformation logic.
• Conduct business process analysis to determine data needs.
• Research emerging technologies and document their recommended use.

Skills

Analytical thinking

Problem-solving

Communication

SQL proficiency

Data modeling

Education

Bachelor's degree in Computer Science / Financial Engineering / MIS / Mathematics / Statistics

Tools

Databricks

Snowflake

Teradata

Oracle

Job description

JPMorganChase is seeking a Data Domain Architect within the Strategy, Innovation & Governance Data team in Payments Operations. The role focuses on data architecture leadership, analytics, and data engineering use cases across Payments Operations.

Collaboration with product, analytics, and technology teams is essential. Candidates should have 5+ years of data/engineering experience, strong SQL, data modeling, and cloud experience with Databricks or Snowflake.