{"id":2065271,"url":"https://alion.io/job/jpmorganchase-corporate-sector-lead-data-engineer","title":"Corporate Sector - Lead Data Engineer","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":1209,"ghost_share":0.007,"stale_share":0.509,"repost_share":0.057,"time_to_fill_p50_days":10,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":173000,"max_usd":339000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Dynatrace","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Kubernetes","optional":true},{"name":"OpenShift","optional":true}],"status":"live","first_seen_at":"2026-10-07T15:20:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-27T20:35:43Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Join a team that builds secure, scalable data pipelines and platforms for collection, access and analytics.\nAs 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.\nJob Responsibilities\nObservability (Dashboards: Grafana, Dynatrace, Tableau):\nDesign, 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.\nDefine 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.\nEnsure 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).\nEstablish and publish SLIs/SLOs and operational health KPIs; translate these into Grafana/Dynatrace visualizations and Tableau reporting for executive and governance stakeholders.\nData Architecture, Modeling, and Governance:\nGenerate and govern data models using firmwide tooling; apply linear algebra, statistical, and geometric algorithms where relevant for modeling and optimization.\nOwn and continuously improve the strategy for database backup, recovery, archiving, retention, and restore testing across relational and NoSQL estates.\nPlatform Engineering & Automation:\nDrive an automation-first, API-led, self-service approach that reduces operational toil and improves resilience and customer experience.\nBuild cloud-native capabilities using AWS services, infrastructure as code, CI/CD, and modern software engineering practices.\nReliability Engineering (SRE) & Operational Excellence:\nEmbed SRE principles by defining and tracking reliability metrics (SLIs/SLOs), implementing observability standards, leading incident learning, and maintaining runbooks and recovery playbooks.\nParticipate in an on-call and incident leadership rotation, acting as an escalation point for complex platform and data reliability issues.\nSecurity, Controls, and Recovery Assurance:\nAssess and report on access control effectiveness and data asset security posture; partner with security/risk to remediate gaps.\nDesign preventive/detective controls, policy guardrails, automated validation, and audit-ready evidence for platform controls and recovery readiness.\nDeliver telemetry, reporting, and operational intelligence for backup health, compliance, and recovery assurance (coverage, success rates, RPO/RTO attainment).\nTechnical Leadership & Delivery Management:\nSet engineering standards, perform high-quality code reviews, mentor engineers, and influence stakeholders across product, architecture, security, and SRE.\nCoordinate cross-team delivery with explicit dependencies, milestones, and measurable outcomes; manage technical debt and balance reliability/security work alongside feature delivery.\nCore Engineering Scope (Hands-on):\nData architecture & modeling (lakehouse/warehouse patterns, dimensional modeling, data contracts)\nAdvanced SQL (performance tuning, warehousing design)\nPipeline engineering & orchestration (reliable batch workflows, backfills, SLAs)\nDistributed processing (e.g., Spark; partitioning, joins/shuffles, file formats)\nData quality & testing (automated checks: schema/freshness/volume/business rules)\n\nRequired Qualifications, Capabilities, and Skills\nTypically 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).\nProficient across the data lifecycle (ingestion, modeling, storage, serving, governance, operations) with demonstrated experience building distributed systems, platform services, APIs, and automation frameworks.\nStrong knowledge of enterprise data protection, backup/recovery, cyber resilience, immutable storage, retention, and recovery testing.\nAdvanced AWS experience spanning backup/data protection services, IAM/security, networking fundamentals, observability, and infrastructure automation.\nHands-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#).\nExperience with CI/CD platforms (e.g., Jenkins, GitLab, GitHub Actions) and implementing database backup/recovery/archiving strategies with measurable RPO/RTO targets.\nProficient knowledge of linear algebra, statistical, and geometric algorithms; ability to translate security, control, and regulatory requirements into engineered solutions and operational processes.\nPreferred Qualifications, Capabilities, and Skills\nExperience with Kubernetes/OpenShift and containerized platform operations.\nExperience with database platforms and cyber-recovery / isolated recovery solutions.\nExperience building operational analytics (health/compliance dashboards, evidence automation) for regulated financial services environments.","description_format":"text","description_chars":5831,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-08T03:38:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3,429 · green card filings: 933","filings_12m":3429,"filings_prev_12m":3601,"green_card_filings_12m":933,"median_offered_wage_usd":160366,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":451}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.484,"p_room":0.45,"age_days":19,"expected_fill_days":10,"reasons":["conf:1","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-corporate-sector-lead-data-engineer","json_url":"https://alion.io/job/jpmorganchase-corporate-sector-lead-data-engineer.json","meta":{"generated_at":"2026-10-27T21:23:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12723,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-corporate-sector-lead-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjpmorganchase-corporate-sector-lead-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjpmorganchase-corporate-sector-lead-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/jpmorganchase-corporate-sector-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-corporate-sector-lead-data-engineer"}]}