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Staff Engineer
2 months ago
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
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.
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