
Corporate Sector - Lead Data Engineer
Houston, TXFull-timeSeen 2w agoSeen in employer's feed 5 days ago
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Job overview
The Lead Data Engineer will lead architecture and engineering for scalable backup, recovery, immutable-data protection, and recovery-assurance services across data platforms and storage tiers. The role delivers secure, stable, scalable data collection, storage, access, and analytics solutions, with clear service objectives and operational readiness gates. It also sets engineering standards, coordinates cross-team delivery, and supports reliability, security, and recovery assurance.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Corporate Sector - Lead Data Engineer
Houston, TX, United States
Job Information
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Job Identification 210794950
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Job Category Data Engineering
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Business Unit Corporate Sector
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Posting Date 10/07/2026, 03:20 PM
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Locations 600 Travis St, Houston, TX, 77002, US
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Job Schedule Full time
Job Description
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.
Job Responsibilities
Observability (Dashboards: Grafana, Dynatrace, Tableau):
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Design, build, and maintain role-based observability dashboards for data platforms and backup/recovery services using Grafana, Dynatrace, and Tableau , providing real-time and historical visibility into platform health, performance, and risk posture.
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Define and govern dashboard standards and operating model (golden dashboards, drill-down paths, naming/tagging conventions, ownership, and lifecycle management) to drive consistent adoption across Engineering, SRE, Operations, and Risk.
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Ensure end-to-end instrumentation and telemetry quality so dashboards surface actionable signals (availability, latency, throughput, error rates, saturation) and platform KPIs (job success/failure, lag/backlog, data freshness, restore success, retention coverage).
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Establish and publish SLIs/SLOs and operational health KPIs; translate these into Grafana/Dynatrace visualizations and Tableau reporting for executive and governance stakeholders.
Data Architecture, Modeling, and Governance:
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Generate and govern data models using firmwide tooling; apply linear algebra, statistical, and geometric algorithms where relevant for modeling and optimization.
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Own and continuously improve the strategy for database backup, recovery, archiving, retention, and restore testing across relational and NoSQL estates.
Platform Engineering & Automation:
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Drive an automation-first, API-led, self-service approach that reduces operational toil and improves resilience and customer experience.
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Build cloud-native capabilities using AWS services , infrastructure as code , CI/CD , and modern software engineering practices.
Reliability Engineering (SRE) & Operational Excellence:
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Embed SRE principles by defining and tracking reliability metrics ( SLIs/SLOs ), implementing observability standards, leading incident learning, and maintaining runbooks and recovery playbooks .
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Participate in an on-call and incident leadership rotation , acting as an escalation point for complex platform and data reliability issues.
Security, Controls, and Recovery Assurance:
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Assess and report on access control effectiveness and data asset security posture ; partner with security/risk to remediate gaps.
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Design preventive/detective controls, policy guardrails, automated validation, and audit-ready evidence for platform controls and recovery readiness.
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Deliver telemetry, reporting, and operational intelligence for backup health, compliance, and recovery assurance (coverage, success rates, RPO/RTO attainment).
Technical Leadership & Delivery Management:
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Set engineering standards, perform high-quality code reviews, mentor engineers, and influence stakeholders across product, architecture, security, and SRE.
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Coordinate cross-team delivery with explicit dependencies, milestones, and measurable outcomes; manage technical debt and balance reliability/security work alongside feature delivery.
Core Engineering Scope (Hands-on):
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Data architecture & modeling (lakehouse/warehouse patterns, dimensional modeling, data contracts)
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Advanced SQL (performance tuning, warehousing design)
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Pipeline engineering & orchestration (reliable batch workflows, backfills, SLAs)
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Distributed processing (e.g., Spark; partitioning, joins/shuffles, file formats)
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Data quality & testing (automated checks: schema/freshness/volume/business rules)
Required Qualifications, Capabilities, and Skills
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Typically 8+ years of applied engineering experience (software engineering or related discipline), including leading production-critical systems ; experience with both relational and NoSQL databases; Strong capability in: 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, mentoring, stakeholder alignment).
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Proficient across the data lifecycle (ingestion, modeling, storage, serving, governance, operations) with demonstrated experience building distributed systems , platform services , APIs , and automation frameworks .
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Strong knowledge of enterprise data protection , backup/recovery, cyber resilience, immutable storage, retention, and recovery testing.
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Advanced AWS experience spanning backup/data protection services, IAM/security , networking fundamentals, observability, and infrastructure automation.
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Hands-on experience with observability/monitoring platforms such as Dynatrace and Grafana and p roficiency in Python and at least one additional language (e.g., Java, Go, C# ).
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Experience with CI/CD platforms (e.g., Jenkins, GitLab, GitHub Actions ) and implementing database backup/recovery/archiving strategies with measurable RPO/RTO targets.
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Proficient knowledge of linear algebra , statistical, and geometric algorithms; ability to translate security, control, and regulatory requirements into engineered solutions and operational processes.
Preferred Qualifications, Capabilities, and Skills
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Experience with Kubernetes/OpenShift and containerized platform operations.
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Experience with database platforms and cyber-recovery / isolated recovery solutions.
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Experience building operational analytics (health/compliance dashboards, evidence automation) for regulated financial services environments.
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
How this job compares
Set against the 5,771 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Texas median$121–206K/yr302 salary ranges
- Texas median$65–75/hr20 hourly ranges
- Openings
- Olive Jobs lists 451 open Data Engineer jobs in Texas and 5,771 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,003 postings).
- Education
- 2,686 of the 5,771 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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