Lead Data Engineer - Branch Workplace Technology

Testing Site - JPMC; Westerville (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Data Engineer to guide data architecture and delivery within the Consumer & Community Bank Division. You will lead critical data functions, focusing on architecture, modelling, transformation, migration, protection, security and governance for Branch initiatives.

The role requires hands-on data engineering, expert knowledge of relational databases, AWS cloud, data pipelines, and governance, with a track record of delivering scalable, secure data platforms and

Qualifications

• Formal training or certification on data engineering concepts and 5+ years applied experience.
• Recent hands-on professional experience as a data engineer.
• Experience with Relational databases (Oracle, SQL Server, Postgres).
• Proficient with AWS cloud technologies and distributed systems.
• Proficiency with data transformation frameworks and data pipeline orchestration tools.
• Experience with data governance frameworks.
• Experience managing large data volumes and optimizing processing.
• Experience in Java or Python and strong testing (unit, integration, end-to-end).
• Excellent written and verbal communication skills.
• Understanding of event-based architecture, data streaming and messaging frameworks.
• Coaching teammates on coding practices and design principles.
• Ability to manage stakeholders and prioritize across multiple streams.

Responsibilities

• Deliver end-to-end data solutions on cloud infrastructure.
• Use domain modeling to build robust business products.
• Evolve data models to support new use cases and tech advances.
• Create scalable architectures with no single points of failure.
• Develop secure code to protect customers and systems.
• Investigate and fix issues to prevent recurrence.
• Ensure zero-downtime releases and up-to-date tech stacks.
• Structure software for maintainability and testability.
• Write/read data efficiently for business needs.
• Monitor performance and reliability of data platforms.
• Support products through production and incident management.

Skills

Domain modeling

AWS cloud

Relational databases

Java/Python

Data governance

Data pipelines

Testing frameworks

Event-driven architecture

Stakeholder management

Coaching teammates

Education

Data engineering certification

Tools

Oracle

SQL Server

Postgres

Airflow

Job description

We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.

As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.

Job responsibilities

• Deliver end-to-end data solutions on cloud infrastructure leveraging the latesttechnologies and the best industry practices.
• Use domain modelling techniques to allow us to build best in class business products.
• Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements
• Build solutions that avoid single points of failure, using scalable architectural patterns.
• Develop secure code so that our customers and ourselves are protected from malicious actors.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns.
• Structure software so that it is easy to understand, test and evolve.
• See that our data is written and read in a way that's optimized for our needs.
• Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
• Support the products you've built through their entire lifecycle, including in production and during incident management
  

Required qualifications, capabilities and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience.
• Recent hands-on professional experience as a data engineer
• Expertise with Relational databases like Oracle, SQL Server and Postgres
• Proficient with AWS cloud technologies and distributed systems
• Proficiency with data transformation frameworks and data pipeline orchestration tools
• Experience withdata governance frameworks
• Prior experience with managing large volumes of data and optimizing data processing
• Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
• Excellent written and verbal communication skills
• Understanding of event-base architecture, data streaming and messaging frameworks
• Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
• Manage stakeholders and effectively prioritize work across multiple work streams.
  

Preferred qualifications, capabilities and skills

• Experience in working in a highly regulated environment / industry
• Understanding of incremental data processing and versioning
• Understanding of RESTful APIs and web technologies