Lead Software Engineer

JPMorganChase; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Wellness centers onsite

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase in New Jersey seeks a Lead Data Engineer within Corporate Technology to advance data collection, storage, and analytics with secure, scalable architectures. You will lead multi-team delivery, own critical pipelines, and shape data platforms across the firm.

Expertise in Databricks Lakehouse, Delta Lake, and AWS is required, plus leadership to drive design reviews, code quality, and cross-functional collaboration.

Qualifications

• 7+ years in data engineering with leadership experience on multi-team data platforms.
• Hands-on experience with Databricks Lakehouse on AWS.
• Deep Delta Lake expertise: ACID tables, partitioning, schema evolution.
• Proven Spark on Databricks: performance tuning, cluster sizing, skew mitigation.
• Experience with streaming and batch pipelines (Structured Streaming, backfills, late-arriving data).
• Strong AWS fundamentals for data platforms (S3, IAM, KMS, VPC, logging).
• Experience implementing data governance/security (Unity Catalog, permissions, credential passthrough).
• Ownership of reliability: monitoring/alerting, incident response, RCA, SLO/SLA.

Responsibilities

• Architect lake house designs (bronze/silver/gold or equivalent).
• Deliver scalable ingestion from AWS sources into Databricks (batch + streaming).
• Build maintainable pipelines with Delta Live Tables or standard Jobs; ensure testing and docs.
• Operational excellence: productionize workloads with Databricks Workflows/Jobs; implement retries and checkpointing.
• Governance by design: enforce least privilege, data classification, auditing, lineage.
• Performance & cost management: tune Spark/Delta workloads, right-size clusters, optimize storage.
• Lead and mentor: set engineering standards, drive code quality, upskill engineers in Spark/Databricks.
• Cross-functional delivery: translate stakeholder needs; align with security/platform teams.
• CI/CD and IaC: Terraform for Databricks + AWS; implement tests, replay/backfills.

Skills

Databricks Lakehouse

Spark on Databricks

Streaming & batch pipelines

AWS data platforms

Data governance & security

Reliability & SRE practices

CI/CD & IaC

Leadership

Cross-functional delivery

Tools

Databricks Workflows/Jobs

Delta Live Tables

Terraform

Job description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

Job Description

As a Lead Data Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are a core technical contributor responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• 7+ years in data engineering, including 2+ years leading delivery/architecture for multi-team data platforms.
• Hands‑on experience building and operating a Databricks Lakehouse hosted in AWS.
• Deep experience with Delta Lake (ACID tables, partitioning, schema evolution, ...)
• Proven experience with Spark on Databricks (performance tuning, cluster sizing, skew mitigation, joins, caching, file sizing).
• Experience with streaming and batch pipelines (Structured Streaming; incremental processing; backfills; late‑arriving data).
• Strong AWS fundamentals for data platforms: S3, IAM, KMS, networking basics (VPC/security groups), logging/auditing.
• Experience implementing data governance/security controls in Databricks (e.g., Unity Catalog, table/column permissions, credential passthrough patterns as applicable).
• Demonstrated ownership of reliability: monitoring/alerting, incident response, RCA, and SLO/SLA management.

Required Qualifications, Capabilities, And Skills

• Architect the lake house: design bronze/silver/gold (or equivalent) layers, domain data products.
• Deliver ingestion at scale: implement resilient ingestion from AWS sources into Databricks (batch + streaming), including CDC where needed.
• Build maintainable pipelines: use Delta Live Tables (DLT) and/or standard Jobs with clear modular structure, testing, and documentation.
• Operational excellence: productionize workloads via Databricks Workflows/Jobs, robust retries, checkpointing, idempotency, and safe re‑runs.
• Governance by design: enforce least privilege, data classification (PII), auditing, lineage/metadata, and controlled sharing/consumption.
• Performance & cost management: tune Spark/Delta workloads, right‑size clusters, optimize storage layout, and manage job/warehouse spend.
• Lead and mentor: set engineering standards, run design reviews, drive code quality, and upskill engineers in Spark/Databricks best practices.
• Cross‑functional delivery: translate stakeholder needs into technical plans, communicate tradeoffs, and align with security/platform teams.
• CI/CD and IaC: Terraform for Databricks + AWS resources; promotion across environments. Testing: unit/integration tests for transformations, data quality checks, contract testing, and replay/backfill procedures.
• Version control & code review discipline; clear documentation and runbooks.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity. We also offer a range of benefits and programs to meet employee needs, such as comprehensive health care coverage, on‑site wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Equal Opportunity Employer Statement

We are an equal opportunity employer and place a high value on diversity and inclusion. 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 needs.

About The Team

Our professionals in Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are essential to our business, ensuring that our clients, customers and employees are set up for success.