Corporate Sector - Lead Data Engineer

JPMorgan Chase & Co.•Houston, TX

About The Position

Join a team that builds secure, scalable data pipelines and platforms for collection, access and analytics. As a Lead Data Engineer, within the Corporate Sector you will lead architecture and engineering for scalable backup, recovery, immutable-data protection, and recovery-assurance services across data platforms and storage tiers and deliver data collection, storage, access, and analytics platform solutions in a secure, stable, scalable way, with clear SLOs/SLAs and operational readiness gates.

Requirements

Data architecture & modeling (lakehouse/warehouse patterns, dimensional modeling, data contracts), advanced SQL (performance tuning, warehousing design), pipeline engineering & orchestration (reliable batch workflows, backfills, SLAs), distributed processing (e.g., Spark; partitioning, joins/shuffles, file formats), and data quality & testing (automated checks, schema/freshness/volume/business rules)
Typically 8+ years of applied engineering experience (software engineering or related discipline), including leading production-critical systems and working experience with both relational and NoSQL databases.
Proficient across the data lifecycle (ingestion, modeling, storage, serving, governance, operations) and demonstrated experience building distributed systems, platform services, APIs, and automation frameworks.
Strong knowledge of enterprise data protection, backup and recovery, cyber resilience, immutable storage, retention, and recovery testing and advanced AWS experience spanning backup/data protection services, IAM/security, networking basics, observability, and infrastructure automation.
Hands-on experience with observability/monitoring platforms such as Dynatrace and Grafana and proficiency in Python and at least one additional language (e.g., Java, Go, C#).
Experience with Terraform or CloudFormation and CI/CD platforms (e.g., Jenkins, GitLab, GitHub Actions) and experience implementing database backup, recovery, and archiving strategies with measurable RPO/RTO targets.
Proficient knowledge of linear algebra, statistical, and geometrical algorithms and strong ability to translate security, control, and regulatory requirements into engineered solutions and operational processes.
Observability & operations (monitoring, lineage, incident response/runbooks)
Security, privacy & governance (least privilege, encryption concepts, auditability), system design & tradeoff analysis (scalability, latency, reliability, cost), and technical leadership (standards, code reviews, mentoring, stakeholder alignment)

Nice To Haves

Experience with Cohesity, Commvault, AWS Backup, or similar enterprise backup platforms.
Experience with Kubernetes/OpenShift and containerized platform operations.
Experience with database platforms and cyber-recovery/isolated recovery solutions.
Experience building operational analytics (health/compliance dashboards, evidence automation) for regulated financial services environments.

Responsibilities

Generate and govern data models for the team using firmwide tooling; apply linear algebra, statistical, and geometrical algorithms where relevant for modeling/optimization and own and continuously improve database backup, recovery, archiving, retention, and restore testing strategy across relational and NoSQL estates.
Impact an automation-first, API-led, self-service approach that reduces operational toil and improves resilience and customer experience amd build cloud-native capabilities using AWS services, infrastructure as code, CI/CD, and modern software engineering practices.
Embed SRE principles: define and track reliability metrics (SLOs/SLIs), implement observability standards, lead incident learning, and maintain runbooks and recovery playbooks and evaluate and report on access control effectiveness and data asset security posture with minimal supervision; partner with security/risk to close gaps.
Design preventive/detective security controls, policy guardrails, automated validation, and audit-ready evidence for platform controls and recovery readiness and deliver telemetry, reporting, and operational intelligence for backup health, compliance, and recovery assurance (coverage, success rates, RPO/RTO attainment).
Provide technical leadership: set engineering standards, perform high-quality code reviews, mentor engineers, and influence senior stakeholders across product, architecture, security, and SRE.
Coordinate cross-team delivery with explicit dependencies, milestones, and measurable outcomes; manage technical debt and prioritize reliability/security work alongside feature delivery and participate in an on-call/incident leadership rotation as needed, acting as an escalation point for complex platform and data reliability issues.