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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Software Engineering-Data Protection & Recovery - **Company:** JPMorgan Chase & Co. - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Engineering, Databases, Computer Engineering, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Disaster Recovery, Distributed Systems, Information Lifecycle Management, Python (Programming Language), Meta-Data Management, MongoDB, Oracle (Applications), DataOps, Software Engineering, Enterprise Data Management, Snowflake, Software Application Programming, Data Lakes, Information Technology, Data Lineage, Cassandra, Data Management, Data Pipelines, Databricks, Programming Languages - **Published:** September 25, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210781303 ## About the Role * 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. Preferred Qualifications, Capabilities, and Skills * Experience with Databricks, Snowflake, or similar modern data platforms. * Experience working with Oracle, MongoDB, Cassandra, or other enterprise-scale database technologies. * Experience building data products, self-service data capabilities, or enterprise data platforms. * Experience supporting backup, recovery, storage, resiliency, or data protection platforms. * Familiarity with data observability, data cataloging, and metadata management tools. * Experience implementing AI-assisted software development and engineering automation capabilities. * Strong understanding of operational resiliency, disaster recovery, and enterprise data management practices. ## Description If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Director of Software Engineering at JPMorganChase within the Infrastructure Platforms (IP) Foundation Services Data Protection & Recovery Product Line, you will lead a critical data engineering function responsible for safeguarding and managing the firm's most important data assets. You will drive the strategy, design, and delivery of data solutions that support enterprise-scale backup, recovery, resiliency, and regulatory compliance capabilities across the firm. We are seeking a technology leader who combines strong software engineering fundamentals with hands-on data engineering experience. The ideal candidate has a proven track record of solving complex business and technical problems, influencing stakeholders across organizations, and delivering scalable data solutions that drive measurable business outcomes., * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)