Company Background: Genuine Parts Company (“GPC” or the “Company”), founded in 1928 and based in Atlanta, Georgia, is a leading specialty distributor engaged in the distribution of automotive and industrial replacement parts and value-added services. The Company operates a global portfolio of businesses with more than 10,000 locations across the world. GPC has approximately 50,000 global employees. The Company has operations in the United States, Canada, Mexico, Australia, New Zealand, Indonesia, Singapore, France, the U.K., Germany, Poland, the Netherlands, Belgium, Spain and China. Position Purpose : Seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the Staff Engineer of a newly formed team of Engineers to build the next generation commerce platforms at GPC. Working with a highly talented team, you'll play a key role to build and run one of the world’s largest automotive and industrial replacement parts operations. This is an engineering leadership role with responsibility for enabling cloud transformation and execution for GPC’s unified data platform. This individual must be a technologist & engineer at heart and be comfortable in enabling new technology and being hands on with the execution of the strategy. They must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrated focus on customer experience, and must have a proven track record of modernizing technologies. Close collaboration and alignment with business teams, application development teams and security will be required. As such, exceptional abilities in building and maintaining strong working relationships and organizational savvy will be required. High level communication and presentation skills are required. Ability to attract, retain, and develop engineering talent will be critical. Responsibilities: Lead the development and build out of cloud data management solutions to support the Enterprise Data Platform (data pipelines, metadata, data catalog, reference data, and data quality) Reviews business context for data solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution. Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements Collaborate and work closely with other teammates to achieve team goals and outcomes Defining Data Architecture, standards, industry best practices and communicating across engineering teams to ensure adoption and governance Assist in setting direction and driving change in data technologies for optimal solutions based on type of workload Design conceptual/logical data models, data flows and source to target mappings Maintain data models, lineage, data dictionary, glossary etc. by using enterprise tools to be consistent across all other data domains and products Lead architecture, design and code reviews with engineering teams Provides analysis of security protection technologies as necessary Performance tuning and optimizing data processing/consumption workloads Coordinate with business and analytics needs to identify future requirements and solutions Mentor new resources Daily attend team standups and agile ceremonies Employ best practices around observability, monitoring, and system resilience Other duties as assigned Location: GPC has two work locations to choose from, Duluth or Atlanta office. We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule. Desired Qualifications & Experiences: Degree in Computer Science or Engineering fields, or equivalent experience 8 years (10+ preferred) experience in software engineering & technology (5+ years in data architecture design and development) Proven technical leadership and skills in creating, leading and implementing Data Management architecture for large enterprise scale applications Experience with Enterprise Data Strategy, Data Modeling, Data Architecture and dealing with structured and semi-structured data at scale Working knowledge of various types of database management systems and approaches to solve OLTP and OLAP workloads (including but not limited to traditional RDBMS systems, NoSQL, BigData and modern cloud native data warehousing solutions) Advanced SQL skills Experience with Data Modeling Tools (Erwin a plus) Experience with Informatica (Informatica Intelligent Cloud Services a plus) Experience in designing, building and implementing re-usable utilities Experience with python scripting Extensive knowledge around various data integration patterns against databases (inbound and outbound) to solve for real-time, and batch workloads Familiarity with data visualization tools like PowerBI Experience in AI/ML, data science and statistical/machine is a plus Excellent oral and written communication Analytical and problem-solving skills Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills Technically creative and open-minded