Lead Data Engineer, Data Mesh & Security Analytics

JPMorgan Chase; Columbus (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase in Columbus, OH is seeking a Lead Data Engineer (Forward Deployed) to embed with infrastructure product teams and turn asset and configuration data into trusted, governed data products that power security controls and enterprise analytics.

You will collaborate across compute, network, storage, and cloud to close data visibility gaps, define data contracts, standardize attributes, and maintain metadata, lineage, and stewardship signals for auditability and risk reduction.

Qualifications

• 5+ years hands-on data engineering experience with data modeling, pipelines, and data quality.
• Proficiency in Python and SQL for reliable data transformations.
• Experience diagnosing data quality issues and implementing controls.
• Ability to collaborate with partner teams.
• Knowledge of infrastructure or asset-related data domains.

Responsibilities

• Embed with infrastructure product teams to map data sources, ownership, and quality gaps.
• Design integrations publishing governed data products into a data mesh.
• Establish data quality rules and monitor at the source.
• Standardize critical data attributes across domains for reliable use.
• Define data contracts between producers and consumers.
• Reconcile infrastructure asset inventories to close gaps.
• Partner with governance stakeholders on sources and stewardship.
• Maintain metadata management practices to support auditability.

Skills

Data engineering

Python

SQL

Data quality

Data modeling

Data pipelines

Stakeholder collaboration

Problem solving

Ambiguity tolerance

Data contracts

Education

Data engineering certification

Tools

Kafka

Hadoop/Spark

Graph databases

Java

Job description

JPMorganChase in Columbus, OH is seeking a Lead Data Engineer (Forward Deployed) to embed with infrastructure product teams and turn asset and configuration data into trusted, governed data products that power security controls and enterprise analytics.

You will collaborate across compute, network, storage, and cloud to close data visibility gaps, define data contracts, standardize attributes, and maintain metadata, lineage, and stewardship signals for auditability and risk reduction.