Lead Data Engineer

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.

As a Lead Data Engineer at JPMorgan Chase within the Corporate Sector - Identity and Access Management, 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.

As a core technical contributor, you are 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


* Generates data models for their team using firm wide tooling, linear algebra, statistics, and geometrical algorithms


* Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way


* Implements database back-up, recovery, and archiving strategy


* Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision


* Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification on Python or Data Engineering concepts and 5+ years applied experience


* Excellent oral and written communication and presentations skills across various stakeholders and senior management


* Familiarity with data processing frameworks like Java and Python, as well as libraries for data manipulation, scripting, and automation.


* Proficiency in conceptual, logical, and physical data modeling, including entities, relationships, attributes, and constraints.


* Strong SQL skills for querying, manipulating, and defining data structures within databases.


* Ability to gather and analyze business requirements and translate them into effective data models.


* Integrate data from various sources, ensuring consistency and quality.


* Design and implement ETL processes to move and transform data to data warehouses or lakes.


* Implement data validation and cleansing to ensure accuracy and reliability.


* Ability to manage product backlog; analytical, problem solving skills

Preferred qualifications, capabilities, and skills


* Strong understanding of Identity and Access Management (IAM) principles, and familiarity with security standards and regulations.


* Experience working with AWS cloud and Big Data/Data Lake platforms.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.

Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and ...