Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Self-Service Enablement 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 the development and implementation of data engineering solutions Design and optimize data pipelines and architectures Integrate AI/ML models into data workflows Collaborate with cross-functional teams to define project requirements Mentor and guide junior engineers in best practices Ensure data quality and integrity across systems Drive innovation in data processing and analytics Conduct research and stay updated with emerging technologies Present technical solutions and strategies to stakeholders Manage project timelines and deliverables Contribute to the continuous improvement of development processes Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience More than 5 years of experience in software engineering and leadership Extensive experience in data engineering and data architecture Proficiency in programming languages such as Python, Java or Scala Strong understanding of AI/ML concepts and tools Experience with cloud platforms like AWS, Azure, or Google Cloud Expertise in big data technologies such as Cassandra, Spark or Kafka Ability to lead and manage complex projects Excellent problem-solving and analytical skills Strong communication and leadership abilities Familiarity with agile development methodologies Preferred qualifications, capabilities, and skills Master's degree in a relevant field Experience with deep learning frameworks like TensorFlow or PyTorch Certification in cloud or data technologies Experience in a leadership role within a tech-driven environment Understanding of data governance and compliance standards Proven track record of successful project delivery