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. Overview The Data Architect II is responsible for designing and documenting logical and physical Enterprise Data Lakehouse databases and creating the related ETL Design Specifications with supporting documentation. This team member implements data governance based on Enterprise Data Governance standards to support the GM Financial Enterprise Data Strategy across analytical database environments. The Data Architect II participates in cross functional teams to effectively communicate design related activities with a wide range of technical, non-technical, and third-party team members. This team member is also responsible for the publication and distribution of Enterprise data models and related supporting documentation. Responsibilities What makes you an ideal candidate? Experience in designing Data Lakehouse architecture with broad knowledge of Data Lakes (unstructured data) and Data Warehouses (structured data) Thorough understanding of data modeling and experience in modeling techniques required such as Relational, Dimensional and Data Vault Moderate to strong working knowledge of ERwin Data Modeling tool Experience with Cloud based Data Warehouse services (Azure Synapse, Data Bricks Delta Lake, Snow Flake, AWS Redshift) preferred Experience with cloud architecture related to data storage in Azure required, multi cloud solutions such as AWS S3 preferred Design, build, and test cloud architecture to ensure large amounts of data can be transferred and stored efficiently Perform a variety of in-depth data analysis, data modeling and data administration tasks on complicated datasets with potentially complex data integration scenarios Must be able to recognize and identify patterns in data relationships from disparate systems Establish, maintain, adhere to and enforce Enterprise Data Modeling and Data Integration standards Communicate with and/or interview users to plan, develop, improve and maintain moderately complex components of the logical/physical corporate model Work closely with business and IT team members to clarify and refine functional data requirement specifications Develop and present solutions using materials such as data flow diagrams, conceptual diagrams, ER flow diagrams as needed to clarify data model meaning and usage effectively to a wide range of technical and non-technical consumers Provide guidance in the interaction with business users to plan, develop, improve and maintain complex components of the logical/physical Maintain and administer the Corporate Data Model Repository Work closely with administrators and developers resulting in effective data driven solutions Create and document logical data integration strategies for data flows between disparate source/target systems and the Enterprise Data Lakehouse Experience in a large and complex business environment Participate in the proliferation of our Corporate Meta-Data Repository Participate in the implementation of strategic Enterprise Data strategies Drive innovations by keeping current on emerging technology and data trends which may fit GMF needs Experience with Microsoft Power BI preferred Qualifications Experience High School Diploma or equivalent required. Bachelor’s Degree in related field or equivalent work experience preferred. Master’s Degree preferred 3-5 years of Data Modeling required 2-3 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 What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation: Competitive pay and bonus eligibility Work Life Balance: Flexible hybrid work environment, 2-days a week in office Note:Please note we are not able to consider candidates who require visa sponsorship for this position. #LI-Hybrid #LI-MH1