Senior Data Platform Engineer: Observability & Resilience

JPMorgan Chase & Co.; Houston (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Data Engineer to architect and build secure, scalable data pipelines and platforms for collection, storage, access, and analytics.

You will own observability, data modeling, governance, and platform engineering with an automation-first mindset. Responsibilities include leading backup/recovery strategies, defining SLIs/SLOs, and delivering telemetry across data platforms.

Qualifications

• 8+ years of engineering experience with production-critical systems.
• Experience with relational and NoSQL databases.
• Strong observability, monitoring, incident response, and runbooks.
• Experience with AWS and data protection/backup strategies.

Responsibilities

• Lead architecture and engineering for backup, recovery, and data protection.
• Build role-based observability dashboards using Grafana, Dynatrace, and Tableau.
• Drive automation-first, API-led, self-service platform capabilities.
• Coordinate cross-team delivery with clear SLIs/SLOs and gates.
• Ensure security, controls, and recovery assurance.

Skills

Observability & operations

Security/governance

System design & tradeoffs

Technical leadership

Distributed systems

APIs

Automation frameworks

Python

Tools

Grafana

Dynatrace

Tableau

AWS

Jenkins

GitHub Actions

Job description

JPMorgan Chase & Co. is seeking a Lead Data Engineer to architect and build secure, scalable data pipelines and platforms for collection, storage, access, and analytics.

You will own observability, data modeling, governance, and platform engineering with an automation-first mindset. Responsibilities include leading backup/recovery strategies, defining SLIs/SLOs, and delivering telemetry across data platforms.