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 analytics

Strong understanding of Apache Flink, Java/Spring Boot, and Databricks, with hands-on experience in full stack development. Ability to provide technical guidance and support to engineering teams.

Proven experience with data analytics using various tools: SQL, Python etc.

Familiarity with project management methodologies such as Agile, Scrum, or Kanban.

Demonstrated ability to lead and motivate cross-functional teams, fostering collaboration and driving results. Experience in resource allocation and team management.

Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Strong interpersonal skills for effective collaboration and stakeholder management.

Strong analytical and problem-solving skills, with the ability to identify issues, evaluate options, and implement solutions. Experience in risk management and mitigation strategies.

Ability to develop and execute strategic plans, aligning technical initiatives with business objectives. Experience in roadmap development and prioritization.

Ability to thrive in a fast-paced, dynamic environment, adapting to changing priorities and requirements. Willingness to learn and adopt new technologies and methodologies.

 

Preferred qualifications, capabilities, and skills 

Bachelor’s degree in computer science, Engineering, or a related field

Possession of advanced certifications related to Apache Flink, Java/Spring Boot, Databricks, or cloud platforms (e.g., AWS, Azure, Google Cloud) that demonstrate a deep understanding and expertise in these technologies.

Previous experience working in the financial services industry, particularly in payments or data platforms, which provides insight into industry-specific challenges and regulatory requirements.

Experience in leading change management initiatives, including the ability to drive organizational transformation and adoption of new technologies and processes. Familiarity with change management frameworks and best practices.