Senior Manager of Software Engineering - Oracle, Informatica, Data Lake

Job Description
When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorgan Chase within the Commercial & Investment Banking's Equities Tech team 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities

• Lead a large technology platform, but with an objective to propose and lead the transformation agenda
• Collaborate effectively within large teams to achieve organizational goals, demonstrating strong team player qualities and project ownership.
• Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develop secure and high-quality production code, and reviews and debugs code written by others
• Drive decisions that influence the product design, application functionality, and technical operations and processes
• Provide maintenance and support for enterprise-level data integration solutions.
• Serve as a function-wide subject matter expert in one or more areas of focus
• Understand and contribute to architecture and design across systems.
• Add to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Over 10 years of proven experience in database solution implementation and ETL processes within the financial industry
• Demonstrate proficiency in application, data, and infrastructure architecture disciplines, especially in managing high-volume data.
• Utilize strong Oracle database knowledge, including Oracle, PL/SQL, performance tuning, and ETL-Informatica.
• Handle complex SQL joins, correlated sub-queries, aggregate functions, analytic functions, materialized views, indexing, partitioning, and performance tuning using explain plans.
• Lead the analysis, design, development, testing, and implementation of ETL processes, using Informatica.
• Implement solutions using Postgres and cloud-based technologies.
• Apply knowledge of Data Lake and Data Warehouse concepts and implementation within an agile software delivery lifecycle.
• Manage the issue resolution process for application production problems, ensuring minimal disruption.
• Production and BAU AD L3 Support: Provide Level 3 support for production and business-as-usual activities, ensuring system reliability and performance.

Preferred qualifications, capabilities, and skills

• Experience with Python and Java is highly advantageous
• Knowledge of big data technologies, such as Snowflake, and integration experience is a plus.
• Stay informed about industry-wide technology trends and best practices.
• Show eagerness to learn new technologies and adapt to evolving industry standards.