Senior Lead Data Engineer - AI-Driven Data Platform

JPMorganChase; Columbus (OH); Presencial; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health care

On-site health centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Resumo da oferta

JPMorganChase is seeking a Senior Lead Data Engineer within the Employee Data Technology team in Columbus, OH. You will be part of an agile team focused on building and scaling secure data collection, storage, access and analytics platforms across multiple pipelines and consumers.

The role emphasizes leadership, architecture decisions, mentoring, and applying enterprise AI-assisted engineering practices to improve code quality, delivery speed, and security.

Qualificações

• ,
• Formal training or certification on data engineering concepts with architecture and production ownership concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Strong Python coding skills, and deep experience with Databricks and Spark.
• Experience with both relational and NoSQL databases.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted outputs before use, escalating when uncertain and following data handling requirements.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Strong experience with AWS and modern lakehouse and data platform patterns.
• Proven technical leadership through architecture decisions, mentoring, and cross-team influence.

Responsabilidades

• Provides recommendations and insight on data management and governance procedures and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements.
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Defines database back-up, recovery, and archiving strategy
• Generates advanced data models for one or more teams using firmwide approaches, linear algebra, statistical and geometrical algorithms
• Approves data analysis tools and processes
• Creates functional and technical documentation supporting best practices
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Evaluates and reports on access control processes to determine effectiveness of data asset security
• Applies reuse-first, AI-assisted practices within delivery and operational routines, ensuring traceability/auditability and alignment to resiliency and security expectations.

Conhecimentos

Python coding

Databricks

Spark

Relational DBs

NoSQL databases

AWS

AI validation

Data governance

Technical leadership

Formação académica

Data engineering certification

Descrição da oferta de emprego

JPMorganChase is seeking a Senior Lead Data Engineer within the Employee Data Technology team in Columbus, OH. You will be part of an agile team focused on building and scaling secure data collection, storage, access and analytics platforms across multiple pipelines and consumers.

The role emphasizes leadership, architecture decisions, mentoring, and applying enterprise AI-assisted engineering practices to improve code quality, delivery speed, and security.