At a Glance
- Tasks: Lead a high-performing team to transform data into actionable insights and improve operational efficiency.
- Company: Join JPMorganChase, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive culture.
- Why this job: Make a real impact by enhancing data reliability and mentoring future data engineers.
- Qualifications: Strong SQL skills, experience with AWS, and a passion for data analytics.
Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. As a Senior Lead Data Engineer at JPMorganChase within the Behavioral Insights Team, you will turn operational signals and platform data into actionable insights that improve reliability, risk/control health, and delivery efficiency.
You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering, risk, and business stakeholders. You will also manage and mentor team members and uphold rigorous data management practices and controls.
- Change and release health: Track deployment frequency, change failure rate, lead time, and rollbacks.
- Capacity, performance, and scalability: Produce capacity forecasts, headroom and hotspot reporting; partner with engineering to validate scaling policies and performance budgets.
- Risk and controls compliance: Evidence guardrail adherence and control health (backup/restore posture, DR testing, patch/vulnerability closure, config drift).
- Data risk and controls: Monitor adherence to risk and control guidelines for data access and use.
- Data quality, reliability, and lineage: Define data contracts for telemetry sources; implement validation, anomaly detection, and reconciliation; formulas, thresholds and end-to-end data lineage from raw signals to KPIs and insights.
- People leadership: Oversee workflow, prioritization, and delivery for junior data engineers and visualization researchers; mentor and support upskilling and career development.
Applies reuse-first, AI-assisted practices within delivery and operational routines. Strong SQL skills (CTEs, window functions, performance-aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted outputs before use, escalating when uncertain and following data handling requirements.
Hands-on experience building dashboards in Tableau/Power BI/Looker (or similar). Understanding incident/change/problem concepts. Strong data storytelling skills. Experience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines.
Senior/ Lead Data Engineer Aws employer: J.P. Morgan
As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.
