Lead Data Engineer: Lakehouse & Spark Architect

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Data Engineer within Corporate Technology in Jersey City to design, build, and operate scalable data pipelines and architectures.

You will lead multi-team delivery, own data lakehouse implementations on Databricks with AWS, and drive governance, reliability, and performance optimization. Responsibilities include leading architecture, mentoring engineers, and delivering batch and streaming data solutions while collaborating with security and platform teams.

Qualifications

• Architect lakehouse with bronze/silver/gold layers and domain data products.
• Ingest data at scale from AWS sources into Databricks (batch + streaming).
• Build maintainable pipelines with Delta Live Tables or standard Jobs, with tests and docs.
• Operational excellence: productionize workloads with Databricks Workflows/Jobs, retries, checkpointing, idempotency.
• Governance by design: enforce least privilege, data classification, auditing, lineage/metadata.

Responsibilities

• Lead delivery and architecture for multi-team data platforms.
• Operate Databricks lakehouse hosted on AWS infrastructures.
• Tune Spark/Delta workloads and manage cluster sizing for cost efficiency.
• Ensure data governance, access controls, and credential passthrough patterns.
• Own reliability: monitoring, incident response, RCA and SLO/SLA management.

Skills

Databricks

Delta Lake

Spark proficiency

AWS data platforms

Leadership & mentoring

Data governance

CI/CD & IaC

Tools

Databricks Lakehouse

Delta Live Tables

Terraform

Job description

JPMorgan Chase & Co. is seeking a Lead Data Engineer within Corporate Technology in Jersey City to design, build, and operate scalable data pipelines and architectures.

You will lead multi-team delivery, own data lakehouse implementations on Databricks with AWS, and drive governance, reliability, and performance optimization. Responsibilities include leading architecture, mentoring engineers, and delivering batch and streaming data solutions while collaborating with security and platform teams.