Data Architect II - GM Financial

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-long 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 the 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, LATAM, Europe, China – 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 and business. 

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Overview

The Data Architect II is responsible for designing and documenting logical and physical Enterprise Application (OLTP) and Data Warehouse (OLAP) databases and creating the related ETL Design Specifications with supporting documentation. This team member actively leads and participates in Data Governance initiatives to support the GM Financial Enterprise Data Strategy across operational and analytical database environments.   The Data Architect II leads and coordinates cross functional teams on a project basis to effectively communicate database 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 and Data Warehouse data models and related documentation throughout the company.  The Data Architect II searches for, identifies and exploits opportunities to enhance Enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.

Responsibilities:

What makes you an ideal candidate?

• 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 Software
• Experience with Cloud based Data Warehouse services (Azure Synapse, Data Bricks Delta Lake, Snow Flake, AWS Redshift) preferred
• Experience with cloud architecture and PaaS, IaaS, SaaS services related to data storage (Azure required, multi cloud solutions) preferred
• Perform a variety of in-depth data analysis, data modeling and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision
• 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 BSA, business and IT team members to clarify and refine functional data requirement specifications
• Develop and present training materials such as data flow diagrams, conceptual diagrams, UML 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 Enterprise Data Warehouse and related models
• Maintain and administer the Corporate Data Model Repository
• Work closely with Database Administrators and Data Integration (ETL) developers resulting in effective data driven solutions
• Create and document logical data integration (ETL) strategies for data flows between disparate source/target systems and the Enterprise Data Warehouse
• Must have moderate to strong working knowledge of ETL and Data integration techniques, Informatica Power Center preferred
• Significant experience in a large and complex business environment
• Working knowledge of business processes for supported business groups
• Knowledge of GM Financials core business functions
• Working knowledge of all system applications
• Working knowledge of the consumer loan business
• Working knowledge of the Corporate Business solution environment
• Working knowledge of information technology systems, infrastructure and operations
• Working knowledge of security methodologies, policies, standards and best practices
• Knowledgeable about best practices in information technology governance and regulatory landscape for financial institutions
• Participate in the implementation of strategic Enterprise Data Strategies
• Participate in the proliferation of our Corporate Meta-Data Repository
• Drive innovations by keeping current on emerging technology and Data Trends which may fit with GMF needs
• Research, present, and accurately articulate benefits and goals of these technologies, such as Big Data, Hadoop, NoSQL, Data V
• Work fluently with many technologies including Hadoop, Big Data, NoSQL, Data Virtualization, Data Services, Oracle, Oracle Exadata
• Strong in the use of Microsoft Office software including strong ability to analyze data using Excel for reporting and data mining purposes
• Experience with data visualization concepts and tools

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
• 3-5 years with cloud architecture and PaaS, IaaS, SaaS services related to data storage (Azure required, prefer multi-cloud solutions) preferred
• Database/ data store design experience with at least three or more years of experience with cloud like technologies such as Microsoft Azure, Amazon Web Services (AWS) or Google Cloud Platform (GCP) preferred
• Experience designing, diagramming, and documenting for Application Development, 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 highly preferred
• Experience in Data Modeling , Data Engineering and Data Integration preferred
• Experience with Cloud based Data Warehouse services (Azure Synapse, Data Bricks Delta Lake, Snow Flake, AWS Redshift) preferred
• Experience architecting DevOps automated data pipelines preferred
• Experience architecting 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
• Experience Architecting Enterprise Data Lake/ Distributed Data patterns for use in Multi-Cloud/ Hybrid Cloud Environments 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

 

Salary:The base salary range for this role is: USD $114,400.00 to $217,400.00. At GM Financial, we strive for transparency in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience, and education. This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.