Lead Data Engineer

Join JP Morgan Chase and take your Data Engineering experience and shape future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations.

Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Lead Data Engineer at JPMorgan Chase within Commercial & Investment Bank - Digital Platform Services, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle.

Utilizing your deep understanding of how to get a product off the ground, you will guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences.

In this role you will ensure a strong commitment to Reliability, Availability, Quality, collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job responsibilities


* Working knowledge of end-to-end data flow across Ingestion to Consumption and articulation of changes required as part of new requirements.


* Guide technical design decisions for data ingestion, transformation, storage & consumption layers.


* Defines and monitors SLOs for data freshness, latency, and availability.


* Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition.


* Manages end to end testing and reconciliations to ensure Data Quality & Zero data loss.


* Analyzes data across domains and presents in a way that tells a story and enables decision making.


* Optimize data models, ensure schema evolution, meta data management and data lineage tracking.


* Provides technical guidance and support to the feature team, leveraging expertise in Apache Flink, Java/Spring Boot, and Databricks.

Facilitates technical discussions and decision-making processes to drive innovation and efficiency.


* Serves as the primary point of contact for stakeholders, including senior executives, product managers, and engineering teams.

Communicates project status, risks, and opportunities effectively to ensure transparency and alignment.


* Identifies potential risks and develops mitigation strategies to ensure project success.

Proactively address challenges and roadblocks, facilitating problem-solving and decision-making processes.


* Fosters a culture of continuous improvement and innovation within the team.

Encourages the adoption of best practices, new technologies, and methodologies to enhance the development process and deliver high-quality solutions.

Required qualifications, capabilities, and skills


* Formal training or certification on Data Engineering concepts and 5+ years applied experience.


* Strong experience overseeing end to end lifecycle of data pipelines from source to consumption.


* Advanced knowledge of the product development life cycle, design, and data an...