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As a Lead Data Architect at JPMorgan Chase within the Corporate Data & Analytics Service, you will play a crucial role in developing high-quality data architecture solutions for various software applications using modern cloud-based technologies. You will be a core technical contributor, responsible for implementing critical data architecture solutions across multiple technical areas to support project goals. Your work will enable the implementation of the CT Data Strategy by building solutions for Data Catalog & Lineage, Entitlements, Data Retention and Destruction, Business Data Quality (BDQ), and Technical Data Quality (TDQ). You will engage with technical teams and business stakeholders to propose data architecture approaches that meet current and future needs. Partnering with the Lead Information Architect, you will enhance a modern data catalog and lineage platform, defining data product taxonomies and ownership. You will take ownership of specific workstreams, promoting initiatives such as BCBS 239–aligned traceability and supporting aggregation accuracy and regulatory attestations. Your responsibilities include designing automated metadata ingestion processes and integrating the catalog with various data services to deliver self-service registration and governance. You will develop and maintain taxonomies, metadata schemas, and data models, while engaging with stakeholders to gather requirements and identify improvement opportunities. Additionally, you will champion information architecture best practices, participate in audits, and maintain documentation to ensure consistency in information management processes.
 

Job responsibilities

Engages technical teams and business stakeholders to discuss and propose data architecture approaches to meet current and future needs Partner with the Lead Information Architect to build and enhance a modern data catalog and lineage platform for Corporate Technology, helping define data product taxonomies and ownership to make critical datasets discoverable and trustworthy. Within this effort, you will:Take ownership of specific workstreams and deliverables, driving initiatives such as BCBS 239–aligned traceability from business metrics to critical data elements and source systems, and supporting aggregation accuracy, control testing, and regulatory attestations with auditable lineage.Design and implement automated metadata ingestion and lineage capture processes, including data quality checkpoints, metadata completeness scoring, and lineage depth metrics.Lead the integration of the catalog with entitlements, retention and destruction, data quality services, and developer workflows to deliver self-service registration, schema evolution governance, and change management guardrails.Develop and maintain taxonomies, metadata schemas, and data models.Engage directly with business and technical stakeholders to gather requirements and translate them into effective information structures, proactively identifying opportunities for improvement.Champion the implementation of information architecture best practices across projects and teams, contributing your own expertise and insights.Participate in and sometimes lead audits and reviews of existing information systems to identify and drive improvements.Maintain documentation and ensure consistency in information management processes, taking initiative to enhance standards and practices where appropriate.Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering  concepts and proficient applied experienceStrong analytical and problem-solving skills.Data modeling skills.Familiarity with Data Modeling and Architecture tools (e.g., MagicDraw, ERWin, or similar).Experience with data catalog and lineage platforms, metadata management, and regulatory data traceability (e.g., BCBS 239).Understanding of data quality frameworks, metadata scoring, and lineage metrics.Excellent written and verbal communication skills.Ability to work collaboratively and independently.Hands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced knowledge of architecture and one or more programming languagesAbility to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture