Sr Lead Data Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Data Engineer at JPMorgan Chase within the Consumer and Community Banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.

Job Responsibilities

• Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data​​.


• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way.


• Defines database back-up, recovery, and archiving strategy. 


• Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms.


• Approves data analysis tools and processes​.


• Creates functional and technical documentation supporting best practices​​.


• Advises junior engineers and technologists.


• Evaluates and reports on access control processes to determine effectiveness of data asset security​.


• Adds to team culture of diversity, equity, inclusion, and respect.

 Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.


• Working experience with both relational and NoSQL databases​


• Advanced understanding of database back-up, recovery, and archiving strategies


• Working knowledge of AWS Athena, Glue and EMR usage for data analysis and processing


• Experience working with Python/Java, Pyspark etc.


• Experience in building Data frameworks, working with Data lakes.


• Experience with Batch and Real time Data processing with Spark or Flink


• Advanced knowledge of linear algebra, statistics, and geometrical algorithms


• Experience presenting and delivering visual data.

Preferred Qualifications, Capabilities, and Skills

• Advanced experience with SQL (e.g., joins and aggregations)


• Experience working with Databricks.


• Cloud experience (Amazon Web Services preferred)