Lead Data Engineer

JPMorganChase; Plano (TX); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines and architectures within the Consumer and Community Banking team. You will drive data governance, optimize performance, and mentor engineers while collaborating with business, analytics and technology stakeholders to deliver secure, compliant data solutions.

The role focuses on AWS Data Lake, Snowflake, and streaming/batch processing, with emphasis on AI-assisted practices to accelerate design

Formación

• Bachelor's degree in CS/IT or related field.
• 5+ years of data engineering with AWS, Data Lake, and Snowflake.
• Hands-on with modern data lake/warehousing tech: Redshift, BigQuery, Snowflake; Spark/Flink/Trino.
• Apply Agile methodologies and backlog prioritization.
• SQL proficiency and ETL tooling experience.
• Experience validating AI-assisted outputs and data sensitivity.

Responsabilidades

• Design, build, maintain and optimize scalable batch and streaming data pipelines.
• Develop and operate workflow orchestration to schedule and monitor data movement.
• Translate business requirements into data lake/warehousing solutions.
• Utilize enterprise AI capabilities to accelerate data pipeline analysis and documentation.
• Promote SDLC quality practices with traceability and security.
• Build and maintain governance for data modeling, cataloging, and access control.
• Provide mentorship and lead technical direction via standards and reviews.
• Stay up-to-date with AWS Data Lake, Snowflake, and related tech.
• Perform quantitative analysis to identify business trends.
• Manage data sharing and ecosystem-specific features.

Conocimientos

AWS

SQL

Data Lake

Snowflake

Kafka

Educación

Bachelor's degree in Computer Science or related

Herramientas

Redshift

BigQuery

Snowflake

Spark

Flink

Trino

Descripción del empleo

Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Lead Data Engineering at JPMorgan Chase within the Consumer and Community Banking team, you design, develop, and maintain robust data pipelines and architectures.. You drive data governance, performance optimization, and mentor engineers while collaborating with business, analytics and technology stakeholders. You ensure scalable, secure, and efficient data solutions that support business objectives and regulatory requirements.

Job Responsibilities

• Design, build, maintain and optimize scalable batch and streaming data pipelines with strong performance, fault tolerance, 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 warehousing standards.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
• Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations
• Build and maintain governance processes for data modeling, cataloging, ownership, and access control.
• Provide mentorship and training on data publication best practices to team members and lead the team's technical direction through standards, reviews, and knowledge sharing
• 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.

Required Qualifications, Capabilities And Skills

• 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 (e.g., Redshift, BigQuery, Snowflake; and engines such as 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 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 (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
• Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
• Experience with large-scale distributed data processing and performance tuning
• Design and implement large-scale data solutions in cloud environments.

Preferred Qualifications, Capabilities, And Skills

• Experience with data modeling in Erwin.
• Experience with table formats such as Iceberg, Hudi

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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 beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.