Lead Data Engineer: AI-Powered Data Platform on AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Data Engineer in Plano to design, build, and optimize scalable data pipelines for batch and streaming workloads.

You will implement data governance, drive performance, and mentor engineers while collaborating with business, analytics and technology stakeholders. You will work with data lake and data warehouse standards, stay current with AWS and Snowflake technologies, and apply AI-enabled practices to ensure secure, auditable data solutions aligned with

Qualifications

• Hold a Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in data engineering with deep AWS, Data Lake, and Snowflake expertise.
• Hands-on experience with modern data lake and warehousing technologies (Redshift, BigQuery, Snowflake; Spark, Flink, or Trino).
• Apply Agile methodologies, running ceremonies and prioritizing backlogs for continuous improvement.
• Exhibit proficiency in SQL and experience with data pipeline/ETL tools.
• Demonstrated experience using enterprise-authorized AI capabilities to support data engineering workflows.

Responsibilities

• Design, build, maintain and optimize scalable batch and streaming data pipelines with performance and observability.
• Develop and operate workflow orchestration to schedule, monitor, and manage data movement and transformations.
• Translate complex business requirements into technical solutions meeting data lake and data warehouse standards.
• Apply AI-assisted practices to strengthen SDLC-quality routines for data pipelines with traceability and security.
• Build and maintain governance processes for data modeling, cataloging, ownership, and access control.
• Mentor engineers and lead the team's technical direction through standards and reviews.
• Stay up-to-date with advancements in AWS Data Lake, Snowflake Data Warehouse and related technologies.
• Perform advanced quantitative analysis of large datasets to identify business trends.
• Manage data sharing, exchange, and ecosystem-specific features.

Skills

AWS

Snowflake

BigQuery

Spark

Flink

Trino

SQL

Data Governance

Data Lake

Kafka

Pub/Sub

Agile

Education

Bachelor’s degree in Computer Science, Information Technology, or related field

Tools

Redshift

BigQuery

Snowflake

Kafka

Pub/Sub

Job description

JPMorgan Chase & Co. is seeking a Lead Data Engineer in Plano to design, build, and optimize scalable data pipelines for batch and streaming workloads.

You will implement data governance, drive performance, and mentor engineers while collaborating with business, analytics and technology stakeholders. You will work with data lake and data warehouse standards, stay current with AWS and Snowflake technologies, and apply AI-enabled practices to ensure secure, auditable data solutions aligned with