Technical Principal Data Engineering

Overview

Why GMF Technology?

GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization - we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are data junkies and trust in data and insights to advance our business objectives. We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world. We are building global platforms, in LATAM, Europe, China, U.S. and Canada - and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.

• Lead the design, development, and implementation of data solutions that meet business requirements.
• Provide hands-on technical leadership and guidance to the data engineering team, ensuring best practices and standards are followed.
• Collaborate with cross-functional teams to define data requirements and deliver high-quality data solutions.
• Hands-on experience in working with Azure, SQL, Databricks, PySpark, Python, data pipelines, and ETL processes.
• Implement data frameworks and automation using Python, PySpark or other languages to streamline data processing and analysis.
• Oversee data warehouse implementations, ensuring data integrity, performance, and scalability.
• Manage the migration of on-premises data systems to cloud platforms such as Azure or AWS, ensuring minimal disruption and optimal performance.
• Drive efficiency across data ecosystems by identifying and implementing process improvements and automation.
• Stay up-to-date with emerging data technologies and industry trends, and apply this knowledge to drive innovation within the organization.
• Mentor and develop team members, fostering a culture of continuous learning and improvement.
• Communicate effectively with stakeholders, providing regular updates on project status, risks, and issues.
• Serve as an independent contributor with subject matter expertise in data engineering, providing specialized knowledge and insights to support the organization's goals.
• Influence data projects and initiatives through technical expertise.
• Become a trusted and valued partner of department and business leaders by providing subject matter expertise, guidance, and support in data engineering.
• Drive technical thought-leadership in data engineering, acting as a change agent and advocate for new methodologies that enable higher levels of business agility and operational excellence.
• Understand, communicate, and commit to the team's vision, goals, and strategies, translating vision to data solutions while balancing risk, investment needs, and fit for purpose.
• Foster open communication that welcomes information sharing, seeks input from others, and values diverse viewpoints.
• Maintain a strong internal network by working across the business segment to foster a culture of trust, inclusion, engagement, and integrity.
• Help to drive cross-team data solutions, anticipating and addressing problems ahead of the need by acting as a key influencer in assigned oversight areas.

• Associate Degree or High School Equivalent plus 2 additional years of related experience required
• Greater than 10 years in Data Engineering or related function required
• 3-5 years experience with Databricks, PySpark, Python required
• 3-5 years leading projects and initiatives through influence required
• Experience with leading initiatives from start to finish preferred