Lead Data Architect – Modern Data Platforms & Integration
JPMorgan Chase16 days ago
Base Salary
$138k - $185k/yr
Responsibilities
- Define the target-state data architecture and drive execution of the strategy for Commercial Card and B2B Commerce.
- Design modern Data Lake, Data Mesh, Data Federation, and domain-oriented Data Product capabilities.
- Architect scalable solutions using Databricks, Apache Spark, AWS Glue, AWS services, APIs, events, streaming, and data-sharing patterns.
- Define standards for data modeling, metadata, lineage, data quality, governance, security, and compliance.
- Design solutions across relational, NoSQL, distributed, and cloud-native database technologies.
- Drive spec-driven development and agentic engineering patterns across design, build, testing, validation, and delivery.
- Apply enterprise-authorized AI and agentic capabilities with human validation, security, traceability, resiliency, and auditability.
- Partner with product, engineering, business, and architecture teams on strategic payment, data, and client capabilities.
- Provide technical leadership and architecture governance across multiple products and delivery teams.
- Evaluate emerging technologies and promote reusable, resilient, and scalable architecture patterns.
Requirements
- Formal training or certification in data architecture concepts and at least 5 years of applied experience.
- Proven experience in Data Architecture, Data Engineering, or Enterprise Data Management in 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 specifications guiding implementation, testing, and validation.
- Strong stakeholder management, communication, technical leadership, and architecture governance skills.
- Preferred experience with Commercial Card, B2B payments, transaction processing, payment data, client integration, servicing, reporting, reconciliation, or analytics.
- Preferred experience modernizing complex data estates across legacy, relational, NoSQL, distributed, and cloud-native platforms.
- Preferred experience enabling enterprise data for advanced analytics, AI/ML, and client-facing capabilities.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location; no specific amount is stated.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash or forfeitable equity.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching are available based on eligibility.
- JPMorganChase is an equal opportunity employer and provides reasonable accommodations for qualifying needs.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.