Director of Data Protection & Recovery Engineering

JPMorganChase; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Director of Software Engineering within the IP Foundation Services Data Protection & Recovery Product Line to lead a data engineering function that safeguards and manages the firm’s critical data assets. You will set strategy, design, and delivery for enterprise backup, recovery, resiliency, and regulatory compliance.

This role combines hands‑on software and data engineering leadership to build scalable data pipelines and platforms, guide cross‑functional teams, ensure

Qualifications

• Formal training or certification in Software Engineering, Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• 10+ years of applied software engineering experience designing and delivering complex technology solutions.
• Strong hands‑on software engineering background with experience developing applications using Java, Python, and/or other modern programming languages.
• Experience designing, building, and supporting large‑scale data platforms, data pipelines, and distributed systems.
• Strong understanding of: Data lineage, Data quality, Data completeness, Data governance, Metadata management, Data lifecycle management.
• Experience managing large datasets and building modern data lake and analytics solutions.
• Strong problem‑solving skills with the ability to diagnose and resolve complex technical and data‑related challenges.
• Experience working across multiple applications and systems with an understanding of upstream and downstream dependencies.
• Experience leading cross‑functional teams of technologists across engineering, product, and platform organizations.
• Practical cloud‑native engineering experience.
• Knowledge of responsible AI practices and governance considerations within software engineering and data environments.

Responsibilities

• Lead the design, development, and implementation of large-scale data engineering solutions supporting the Data Protection & Recovery Product Line.
• Drive initiatives focused on data lineage, data quality, data completeness, governance, and data lifecycle management across multiple platforms and applications.
• Partner with engineering, product, architecture, infrastructure, and operations teams to identify and solve complex data challenges across upstream and downstream systems.
• Establish technical strategy, architecture direction, engineering standards, and best practices for data engineering initiatives.
• Lead teams responsible for building scalable data pipelines, datasets, data services, and reporting capabilities supporting critical business functions.
• Deliver technical solutions that can be leveraged across multiple businesses, platforms, and technology domains.
• Drive engineering excellence through modern software development practices, automation, resiliency, and operational rigor.
• Influence senior technology leaders and stakeholders while balancing strategic objectives with practical execution.
• Ensure solutions meet firmwide security, risk, compliance, resiliency, and regulatory requirements.
• Lead adoption of AI‑enabled engineering practices and automation capabilities to improve delivery speed, quality, and operational outcomes.
• Develop, coach, and mentor engineering talent while fostering a culture of innovation, accountability, collaboration, and continuous improvement.

Skills

Java

Python

Data engineering

Leadership

Education

Software Engineering degree

Tools

Databricks

Snowflake

Oracle

Job description

JPMorganChase is seeking a Director of Software Engineering within the IP Foundation Services Data Protection & Recovery Product Line to lead a data engineering function that safeguards and manages the firm’s critical data assets. You will set strategy, design, and delivery for enterprise backup, recovery, resiliency, and regulatory compliance.

This role combines hands‑on software and data engineering leadership to build scalable data pipelines and platforms, guide cross‑functional teams, ensure