Principal Data Engineer- Executive Director

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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.
• Skilled at assessing risk and making decisions with a holistic big-picture perspective.
• Demonstrates a can-do attitude and leads by example.
• Detail-oriented able to distinguish between important and urgent tasks.
• Prioritizes helpfulness mentorship and team development.
• Acts with integrity.