Data Architect Principal

Data Platform Architect

About FedEx Dataworks: Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet todays needs and address tomorrows challenges.

We are creating opportunities for FedEx, our customers, and the world at large by:

• Exploring and harnessing data to define and solve true problems
• Removing barriers between data sets to create new avenues of insight
• Building and iterating on solutions that generate value
• Acting as a change agent to advance curiosity and performance

At FedEx Dataworks, we are making supply chains work smarter for everyone.

As a Data Platform Architect, you will be responsible for designing, implementing, and maintaining scalable and efficient data platforms to support the organizations data-driven initiatives. You will collaborate with cross-functional teams to understand business requirements, design data architectures, and implement solutions that enable efficient data processing, storage, and analysis. The role requires a deep understanding of various data technologies, cloud platforms, and data engineering best practices.

Design and develop scalable, high-performance data architectures that meet the organizations requirements for data processing, storage, and analysis. Lead the implementation of data platforms using a combination of cloud-based and on-premises technologies, ensuring reliability, scalability, and security. Design and implement data integration solutions to facilitate the seamless flow of data between different systems and platforms, ensuring data consistency and accuracy. Identify performance bottlenecks in data processing pipelines and optimize platform components for improved efficiency and resource utilization. Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and provide technical guidance and support. Create documentation, best practices, and guidelines for data platform architecture and train team members on platform usage and maintenance.

Requirements:

Bachelors degree or equivalent* in computer science, engineering, information systems or related field plus 7 years of experience in the job offered or 7 years of equivalent work experience in information technology or engineering environment. The employer will alternatively accept a Masters degree in computer science, engineering, information systems or related field, plus 5 years of experience in the job offered or 5 years of equivalent work experience in information technology or engineering environment in lieu of a Bachelors degree plus 7 years of experience. The position requires experience with: Advanced Data Engineering; Advanced Database Design/Development; Advanced Data Modeling; Advanced SQL; Azure Cloud Platform Design/Development; Advanced Unix/Linux/Shell Scripting; Advanced CI/CD and DevOps. Proficiency in designing and implementing data architectures using cloud platforms (e.g., AWS, Azure, GCP); Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, etc.; Ability to lead and perform reverse engineering activities related to existing data flows and design/implement improvements; Solution architecture experience in translating business needs and vision into roadmap, project deliverables, and organizational strategies; Solid understanding of data architecture and data modeling techniques; Consensus building skills to drive alignment across cross-functional teams; Ability to adapt and maintain a positive and professional attitude to deliver scalable, secure, and compliant solutions. *Employer will accept one (1) year of directly related experience in lieu of one (1) year of education. Position can telecommute from home from any location in the U.S.

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship.