JPMorgan Chase within Corporate Investment Bank Data Solutions is looking to spearhead the design and delivery of cutting-edge, scalable technology products to drive strategic business impact and foster innovation.
Requirements
- Expertise in Java programming
- Formal training or certification on software engineering concepts and 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Proven track record in technical leadership, including resource management and project delivery.
- Experience in solution architecture, with the ability to design and implement innovative technology solutions.
- Expertise in AWS technologies and cloud infrastructure, with experience in Kubernetes* and other cloud platforms.
- Strong data architecture skills, with experience in building enterprise-scale data solutions.
- Proficiency in traditional databases (Postgres, Oracle, SQL Server) and strong SQL skills.
Responsibilities
- Architect and design complex data management platforms, ensuring alignment with business goals and technological advancements.
- Provide guidance in the adoption and integration of AWS technologies to enhance scalability and performance.
- Drive innovation by exploring and implementing out-of-the-box solutions that address complex business challenges.
- Oversee the delivery of large-scale projects, coordinating efforts across multiple teams and stakeholders to ensure timely and successful outcomes.
- Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices.
- Collaborate with product, technology, and data partners to develop and execute strategic data engineering initiatives.
- Lead initiatives involving graph databases, such as Neo4j, to enhance data relationships and insights.
Other
- Excellent communication skills, capable of engaging with stakeholders at all organizational levels.
- Understanding of financial markets and experience with financial data.
- Experience with graph databases such as Neo4j.
- Familiarity with AWS managed services like EKS and MSK.
- Experience in building monitoring tools using Datadog, Prometheus, and Grafana.
