Sr Data Architect

JOB DESCRIPTION

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.

Flexible hybrid work environment (onsite 2 days a week/3 days remote) in Arlington, TX.
Please note: We are unable to provide any type of visa sponsorship for this position now or in the future.

• Advanced data modeling skills across Relational, Dimensional, and Data Vault methodologies.
• Proficient in ERwin or similar data modeling tools.
• Hands-on experience with cloud-based data platforms such as Azure Synapse, Databricks Delta Lake, Snowflake, and AWS Redshift.
• Strong understanding of cloud architecture for data storage, particularly in Azure; multi-cloud experience (e.g., AWS S3) is a plus.
• Skilled in designing and optimizing cloud data pipelines for high-volume, efficient data transfer and storage.
• Capable of performing complex data analysis, modeling, and integration across diverse and large-scale datasets.
• Adept at identifying data patterns and relationships across disparate systems.
• Leads the enforcement of enterprise data modeling and integration standards.
• Collaborates with business and IT stakeholders to refine and translate data requirements into scalable solutions.
• Communicates data architecture concepts clearly using diagrams and models for technical and non-technical audiences.
• Maintains and governs the Corporate Data Model and Metadata Repository.
• Partners with developers and administrators to deliver robust, data-driven solutions.
• Designs and documents enterprise-level data integration strategies across varied systems.
• Brings experience from large, complex business environments.
• Contributes to strategic data initiatives and metadata management efforts.
• Stays current on emerging technologies and trends to drive innovation.
• Experience with Microsoft Power BI is preferred.

• High School Diploma or equivalent required. Bachelor's Degree in related field or equivalent work experience preferred. Master's Degree preferred
• 6-8 years of Data Modeling required
• 4-6 years with cloud architecture related to data storage in Azure required, multi-cloud solutions preferred
• Database/ data store design experience with at least three or more years of experience with cloud technologies such as Microsoft Azure(preferred) or AWS or Google Cloud Platform (GCP)
• Experience designing, diagramming and documenting patterns for ETL Development and/or other Data projects preferred
• Experience working within an Enterprise Data Management role including transactional Data, Analytical Data, and Data Governance/ Administration preferred
• Experience with Oracle/ Oracle Exadata or SQL Server a plus
• Experience with Cloud based Data services Azure,Data Bricks Delta Lake preferred
• Experience architecting DevOps automated data pipelines preferred
• Knowledge of Enterprise Data Pipelines leveraging technologies such as Kafka, Azure Event Hub, Azure Service Bus preferred
• Experience Architecting solutions for Machine Learning and Advanced Analytics/ Data Science deployments preferred