Lead Software Engineer - Data Engineering

Lead Software Engineer- Data Engineering (Python, AWS, ETL)

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible

As a Lead Software Engineer at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others 
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability 
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing.
• Proficiency in SQL, Python, AWS & any ETL tool.
• Strong understanding of data quality, security, and lineage best practices.
• Experience with cloud-based data warehouse migration and modernization.
• Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and documentation abilities.
• Ability to collaborate effectively with business and technical stakeholders.
• Sales analytics experience preferred
• Familiarity with Salesforce Data Cloud, Einstein GPT, Salesforce Sales Cloud, and other emerging technologies. 
• Oversight of DevOps practices, CI/CD pipelines, and release management across multiple environments.

Experience Level

Senior Level