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JPMorgan Payment Operations - Data Domain Architect Vice President 
United States, Texas, Plano 
225666964

03.08.2024

Job Responsibilities:

  • Understand the data landscape across the Payments organization and work to leverage all available data resources
  • Leverage technical skills to source and prepare data from a variety of data sources including traditional databases, no-SQL, Hadoop, and Cloud.
  • Works closely with data analytics staff within our team to understand requirements and partner to optimize solutions and develop / foster new ideas
  • Work with Data Domain Architect lead on all facets of Data Domain Architecture, including resource management
  • Work with Tech, Product and CIB data partners to research and implement use cases
  • Evaluate the current data architecture and shape the future state data architecture and roadmap to serve on Payments Operations data needs

Required qualifications, capabilities, and skills:

  • 6+ years of relevant work experience as a 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 and collaborate across teams at varying levels using a consultative approach
  • Experience modeling data in an architecture that balances query processing with business results
  • General understanding of Agile Methodology
  • Cloud platform knowledge
  • Traditional Database Skills (Oracle, SQL Server). Strong SQL overall
  • Understanding of ETL framework and tools including Alteryx
  • Ability to profile, clean, and extract data from a variety of sources
  • Analytics and insights development experience – telling stories with data using Tableau / Alteryx
  • Exposure to data science, AI/ML and model development

Preferred qualifications, capabilities, and skills:

  • Prefer hands on experience with Databricks or Snowflake
  • Experience with Python/PySpark