Principal Data Engineer- Executive Director

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

Job summary:
As the Principal Data Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will lead the strategic transformation of our data landscape, enabling advanced analytics and data-promoten decision-making.

You will have the opportunity to modernize large-scale Oracle databases and big data platforms, architect robust data models, and deliver innovative, scalable, and secure data solutions.

This role offers a chance to collaborate with cross-functional teams and senior stakeholders, fostering a culture of collaboration, integrity, and continuous improvement.

Job Responsibilities:


* Architect and implement modern, scalable data solutions across hybrid cloud and on-prem environments, addressing both OLTP and OLAP requirements.


* Set high standards for data engineering practices, including data modeling, ETL/ELT, data quality, governance, and metadata management.

Directly contribute to solution design and development.


* Oversee, mentor, and develop data engineering team, ensuring alignment with business objectives and technology strategy.


* Drive initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms.


* Champion best practices in data engineering, security, risk management, regulatory compliance, and automation.


* Present data strategies, architecture decisions, and project updates to senior stakeholders.

Collaborate cross-functionally with software engineering, analytics, and business teams.


* Balance urgent operational needs with long-term strategic goals, prioritizing initiatives for maximum business impact.


* Foster a culture of collaboration, integrity, innovation, and continuous improvement within the data engineering organization

Required qualifications, capabilities and skills:


* Formal training or certification on data engineering concepts and 10+ years applied experience.


* Deep expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow).


* Strong experience architecting and optimizing transactional and analytical data systems.


* Mastery of ETL/ELT pipelines, data migration, data quality frameworks, data governance, and metadata management.


* Proficiency in enterprise-grade languages (e.g., Python) and data modeling & engineering tools.


* Solid background in data security, risk management, and regulatory compliance.


* Demonstrated ability to lead, mentor, and inspire data engineering teams, including cross-functional and global teams.


* Excellent interpersonal, presentation, and stakeholder management skills.

Preferred qualifications, capabilities and skills:


* Action-oriented, decisive, drives results systematically.
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