JPMorgan Payment Operations - Data Domain Architect Vice President 

United States, Texas, Plano 

225666964

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