Lead Data Engineer - Forward-Deployed Data Mesh

Talentify; Columbus (OH); On-site; USD 140,000 - 185,000; Full time

Job summary

JPMorganChase is seeking a Lead Data Engineer (Forward Deployed) to embed with Infrastructure Data Platforms teams and turn asset and configuration data into trusted data products powering security controls and enterprise analytics.

You will partner with compute, network, storage, and cloud teams to close data visibility gaps, standardize data attributes, and implement governance across critical infrastructure datasets.

Qualifications

• 5+ years of hands-on data engineering experience spanning data modeling, pipelines, and quality engineering.
• Proficiency in Python and SQL for reliable data transformations.
• Experience diagnosing data quality issues and implementing preventive controls.
• Ability to collaborate with partner teams across compute, network, storage, and cloud.
• Familiarity with data contracts and data quality frameworks.

Responsibilities

• Embed with infrastructure teams to map current-state data sources, ownership, definitions, formats, and quality gaps.
• Design and deliver integrations publishing governed data products into a data mesh.
• Establish data quality rules and monitoring at the source to drive remediation.
• Standardize critical data attributes and definitions across domains.
• Define and implement data contracts to clarify producer/consumer expectations.
• Reconcile and certify infrastructure asset inventories to close gaps in security and control.
• Partner with product, engineering, governance to align on authoritative sources.
• Maintain metadata management practices to support auditability and transparency.

Skills

5+ years data engineering

Python

SQL

Data quality

Cross-team collaboration

Infrastructure data domains

Data contracts

Metadata management

Education

Data engineering certification

Tools

Kafka

Hadoop/Spark

Graph databases

Java

Job description

JPMorganChase is seeking a Lead Data Engineer (Forward Deployed) to embed with Infrastructure Data Platforms teams and turn asset and configuration data into trusted data products powering security controls and enterprise analytics.

You will partner with compute, network, storage, and cloud teams to close data visibility gaps, standardize data attributes, and implement governance across critical infrastructure datasets.