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Lead Data Architect – Modern Data Platforms & Integration

JPMorgan Chase
Chicago, USA
Full-time
Lead · 5+ years experience
Onsite
Discovered Today
awsaws-gluedatabricksspark

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Job responsibilities

  • Defines the data architecture target state for Commercial Card and B2B Commerce and drives execution of the strategy.
  • Designs modern Data Lake, Data Mesh, Data Federation, and domain-oriented Data Product capabilities.
  • Architects scalable data solutions using Databricks, Apache Spark, AWS Glue, AWS services, APIs, events, streaming, and modern data-sharing patterns.
  • Defines standards for data modeling, metadata, lineage, data quality, governance, security, and compliance.
  • Designs solutions across relational, NoSQL, distributed, and cloud-native database technologies.
  • Drives adoption of spec-driven development and agentic engineering patterns to improve how data solutions are designed, built, tested, validated, and delivered.
  • Leverages enterprise-authorized AI and agentic capabilities across the engineering lifecycle while maintaining appropriate human validation, security, traceability, resiliency, and auditability.
  • Partners with product, engineering, business, and architecture teams to deliver strategic payment, data, and client capabilities.
  • Provides technical leadership and architecture governance across multiple products and delivery teams.
  • Evaluates emerging technologies and drives adoption of reusable, resilient, and scalable architecture patterns.

Required qualifications, capabilities, and skills

  • Formal training or certification on data architecture concepts and 5+ years applied experience
  • Proven experience in Data Architecture, Data Engineering, or Enterprise Data Management within large-scale environments
  • Expertise in Data Lake, Data Mesh, Data Federation, Data Products, and modern data platform architectures
  • Hands-on experience with Databricks, Apache Spark, AWS Glue, AWS services, and cloud-native data technologies
  • Experience designing architectures across multiple database technologies and distributed data platforms
  • Experience with APIs, event-driven architecture, streaming, data-sharing, and enterprise integration patterns
  • Deep understanding of data modeling, metadata, lineage, data quality, governance, security, and compliance
  • Experience with modern SDLC practices, automation, continuous delivery, and AI-assisted or agentic software engineering
  • Ability to translate architecture and business intent into clear specifications that guide implementation, testing, and validation
  • Strong stakeholder management, communication, technical leadership, and architecture governance skills

Preferred qualifications, capabilities, and skills

  • Experience with Commercial Card, B2B payments, transaction processing, or commercial payments platforms.
  • Experience with payment and transaction data, client integration, servicing, reporting, reconciliation, or analytics.
  • Experience architecting large-scale data solutions using Databricks and AWS technologies.
  • Experience implementing spec-driven development, agentic build/test workflows, or AI-enabled SDLC automation.
  • Experience modernizing complex data estates spanning legacy, relational, NoSQL, distributed, and cloud-native platforms.
  • Experience enabling enterprise data for advanced analytics, AI/ML, and client-facing capabilities.

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