Lead Data Architect

Testing Site - JPMC; Columbus (OH); On-site; USD 165,000 - 195,000; Full time

Job summary

Testing Site - JPMC is seeking a Lead Architect for Data products within Corporate Oversight and Governance Technology to drive high-quality architecture solutions across cloud-based platforms. You will lead data modeling, governance, and federated data sharing initiatives while mentoring teams and ensuring security, quality, and regulatory compliance.

The role emphasizes data mesh implementation, scalable data solutions, and collaboration with stakeholders to define requirements and deliver

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Formal training or certification in Data Architecture concepts.
• 5+ years of applied experience in data architecture or data engineering.
• Hands-on experience with system design, development, testing, and operations.

Responsibilities

• Represent the data architecture team at technical governance bodies, providing feedback and proposing improvements to governance practices.
• Guide evaluation of current and emerging technologies, leading assessments using established data architecture standards and frameworks.
• Design, develop, and maintain logical and physical data models, optimizing architectures for automation and integration with enterprise platforms.
• Architect and implement scalable, secure, and reliable data solutions, ensuring alignment with enterprise standards.
• Champion and implement data mesh methodologies to enable decentralized data ownership and self-serve data infrastructure.
• Coordinate and facilitate federated data sharing across business units and application teams, ensuring secure and efficient data exchange.
• Lead and coordinate research, development, and implementation of data products, collaborating with stakeholders to define requirements and ensure successful delivery.
• Drive automation of metadata management processes to enhance data discoverability, lineage, and governance; implement tools and frameworks for metadata capture and cataloging.
• Advise teams on database selection and data storage design, including normalization principles and best practices, considering scalability, performance, and cost.
• Guide teams on Trusted Data Quality (TDQ) principles and implementation patterns to ensure high-quality, reliable data across applications and platforms.
• Design and enforce data transfer control procedures for secure and compliant data movement between OLTP applications and data lakes; architect and promote common APIs/tools for standardized data transfer.
• Provide technical guidance, mentorship, and best practices to application development, data engineering, and governance teams, including junior architects and technologists.
• Ensure data quality, security, and compliance with regulatory standards and firmwide policies.
• Actively contribute to the engineering community, advocating for data frameworks, tools, and practices throughout the Software Development Life Cycle (SDLC).
• Identify opportunities for continuous improvement in data automation, platform capabilities, and data product offerings.
• Serve as a function-wide subject matter expert in one or more areas of focus.

Skills

Data modeling

Data architecture

Cloud architectures

Programming experience

Spark

Education

Bachelor’s or Master’s degree in CS/IS

Tools

Erwin Data Modeler

Spark

Job description

A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us.

As a Lead Architect for Data products at Corporate Oversight and Governance Technology (COGT) with in the Corporate technology LOB, youare an integral part of a team that works to develop high-quality architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals.

Job responsibilities

• Represent the data architecture team at technical governance bodies, providing feedback and proposing improvements to governance practices.
• Guide evaluation of current and emerging technologies, leading assessments using established data architecture standards and frameworks.
• Design, develop, and maintain logical and physical data models (e.g., using Erwin Data Modeler), optimizing architectures for automation and integration with enterprise platforms.
• Architect and implement scalable, secure, and reliable data solutions, ensuring alignment with enterprise standards.
• Champion and implement data mesh methodologies to enable decentralized data ownership and self-serve data infrastructure.
• Coordinate and facilitate federated data sharing across business units and application teams, ensuring secure and efficient data exchange.
• Lead and coordinate research, development, and implementation of data products, collaborating with stakeholders to define requirements and ensure successful delivery.
• Drive automation of metadata management processes to enhance data discoverability, lineage, and governance; implement tools and frameworks for metadata capture and cataloging.
• Advise teams on database selection and data storage design, including normalization principles and best practices, considering scalability, performance, and cost.
• Guide teams on Trusted Data Quality (TDQ) principles and implementation patterns to ensure high-quality, reliable data across applications and platforms.
• Design and enforce data transfer control procedures for secure and compliant data movement between OLTP applications and data lakes; architect and promote common APIs/tools for standardized data transfer.
• Provide technical guidance, mentorship, and best practices to application development, data engineering, and governance teams, including junior architects and technologists.
• Ensure data quality, security, and compliance with regulatory standards and firmwide policies.
• Actively contribute to the engineering community, advocating for data frameworks, tools, and practices throughout the Software Development Life Cycle (SDLC).
• Identify opportunities for continuous improvement in data automation, platform capabilities, and data product offerings.
• Serve as a function-wide subject matter expert in one or more areas of focus.

Required qualifications, capabilities, and skills

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Formal training or certification in Data Architecture concepts.
• 5+ years of applied experience in data architecture, data engineering, or a related discipline.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages, applications, and architecture.
• Experience with data modeling tools (e.g., Erwin Data Modeler).
• Experience with big data processing frameworks (e.g., Spark).
• Experience with metadata management and automation tools is highly desirable.

Preferred qualifications, capabilities, and skills

• Strong Communication, collaboration, analytical and problem-solving abilities.
• Ability to independently tackle complex design and functionality problems with little to no oversight.
• Understanding of data mesh concepts and practical experience implementing data mesh methodologies.
• Experience coordinating federated data sharing and data product development in large, complex enterprise environments.
• Knowledge of data governance, data quality (including TDQ principles), and compliance best practices.
• Ability to evaluate current and emerging technologies to select or recommend optimal solutions for future-state architecture.
• Leadership in mentoring teams, establishing best practices, and driving adoption of innovative technologies.
• Commitment to fostering a team culture of diversity, opportunity, inclusion, and respect.
• Continuous learner, staying abreast of industry trends and emerging technologies.