DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Senior Lead Software Engineer - Data Engineer at JPMorgan Chase within the Wholesale Credit Risk team you will lead the strategic transformation of our data landscape. This role offers you the opportunity to modernize our data infrastructure enabling advanced analytics and data-promoten decision-making across the organization. You will inspire and guide a team of data engineers to optimize data sourcing strategies and deliver innovative scalable and secure data solutions. Join us to promote impactful change and foster 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 5 years applied experience
- Hands on experience in data engineering with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
- 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.
Required Experience:
Senior IC
DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.As a Senior Lead Software Engineer - Data Engineer at JPMorgan Chase within the Wholesale Credit Risk team you will lead the strategic transformation of ou...
DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Senior Lead Software Engineer - Data Engineer at JPMorgan Chase within the Wholesale Credit Risk team you will lead the strategic transformation of our data landscape. This role offers you the opportunity to modernize our data infrastructure enabling advanced analytics and data-promoten decision-making across the organization. You will inspire and guide a team of data engineers to optimize data sourcing strategies and deliver innovative scalable and secure data solutions. Join us to promote impactful change and foster 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 5 years applied experience
- Hands on experience in data engineering with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
- 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.
Required Experience:
Senior IC
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