Databricks - Lead Software Engineer

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 the Employee Digital and Service Experience group, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products that are secure, stable, and scalable. Job responsibilities Executes creative data 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 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 Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience experience with data engineering, specifically with Databricks and AWS Glue Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in Terraform 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, Application 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

AWS Certification Databricks Certification Deep expertise in Spark optimization and performance tuning within Databricks Hands-on experience with Delta Lake and lakehouse architectures Advanced proficiency in Python and SQL for data engineering tasks Familiarity with integrating Databricks with BI and visualization tools Awareness of emerging data engineering technologies and trends

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