JPMorgan Chase is a visionary organization committed to harnessing cutting-edge technology to drive innovation and efficiency. We are on the lookout for a skilled Cloud Application Developer to join our team and spearhead the transition from SQL-based systems to Databricks, while expanding our AI capabilities. 

As a Cloud AI Developer Vice President within JPMorgan Chase, you will spearhead the transition from SQL-based systems to Databricks, while expanding our AI capabilities. You will design, develop, and implement cloud-based solutions to replace our existing SQL infrastructure, enabling us to leverage Databricks and other cloud technologies. This role provides the opportunity to enhance our data processing capabilities and empower end users to access data swiftly and derive insights through AI.

Job responsibilities: 

Collaborate with cross-functional teams to understand business requirements and design cloud-based solutions. 

Lead the migration of existing SQL databases and applications to Databricks and other cloud platforms. 

Drive the development and deployment of AI tools, including building, testing, and reviewing model training. 

Develop, test, and deploy scalable and efficient cloud applications. 

Optimize data processing workflows while ensuring data integrity and security. 

Provide technical guidance and support to team members and stakeholders. 

Stay abreast of the latest cloud technologies and best practices. 

Support production tasks and resolve issues. 

Partner with finance teams to develop and optimize data mining and analytics for financial trends and initiatives. 

Required qualifications, capabilities, and skills:  

Bachelor's degree in Computer Science, Information Technology, or a related field. 

Proven experience in SQL database management and development. 

Strong expertise in Databricks and cloud platforms such as AWS, Azure, or Google Cloud. 

Proficiency in programming languages such as Python, Scala, or Java. 

Experience with data integration, ETL processes, and data warehousing. 

Familiarity with big data technologies and frameworks. 

Excellent problem-solving skills and attention to detail. 

Strong communication and collaboration skills. 

Preferred qualifications, capabilities, and skills: 

Experience with machine learning and data analytics. 

Certification in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer). 

Knowledge of DevOps practices and CI/CD pipelines. 

Experience with Tableau, Databricks, and ThoughtSpot is a plus. 

Strong financial and business analytical skills. 

Ability to work independently and efficiently.