Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success.

As a Senior Lead Software Engineer at JPMorgan Chase within the accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world.

Job responsibilities

• Architect and implement: Design and develop scalable, cost-effective, and secure distributed architectures and solutions, focusing on data ingestion and processing, utilizing appropriate GCP services and technologies
• Develop data pipelines: Design, implement, and maintain data pipelines that efficiently collect, process, and store large volumes of data from various sources, ensuring data quality and integrity
• Monitor, analyze, and optimize data pipelines to improve performance, reduce costs, and ensure reliability and scalability
• Ensure that data solutions comply with relevant data security and privacy regulations, and implement best practices for securing data at rest and in transit
• Mentor junior members of the team, sharing your experience, helping with any blockers

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• Programming languages: Actively writing code & proficiency in one or more languages commonly used in data engineering , such as Python, R, Java, or Scala. Strong problem-solving and critical-thinking skills, with the ability to break down complex problems and develop innovative solutions
• Data engineering skills: Experience in designing, building, developing, and optimizing data pipelines, as well as experience with big data processing tools like Apache Spark, Hadoop, and Dataflow
• Experience in designing & operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availability
• Data integration: Familiarity with data integration tools and techniques, including ETL (Extract, Transform, Load) processes and real-time data streaming
• Cloud platforms expertise: Good understanding of GCP/AWS data engineering services, architectures, and best practices, with hands-on experience in designing and implementing scalable and cost-effective solutions.
• Data storage and databases: Knowledge of various data storage options (e.g., relational databases, NoSQL, data lakes) and hands-on experience with managing and optimizing databases such as PostgreSQL, MySQL, BigQuery, and Redshift
• Leadership and communication: Ability to lead a team of engineers, collaborate effectively with cross-functional teams, and communicate complex technical concepts to both technical and non-technical stakeholders.
• A desire to teach others and share knowledge. We aren’t looking for hero developers, more for team players. We want you to coach other team members on coding practices, design principles, and implementation patterns
• Comfortable in uncharted waters. We are building something new. Things change quickly. We need you to learn technologies and patterns quickly

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