Under limited supervision, creates project level data architecture artifacts for specific projects.
Essential Functions - Cloud-Native Architecture Design: Lead the architectural design and implementation of scalable, high-performance data platforms (Data Lakes, Data Warehouses) leveraging Google Cloud Platform (GCP) services such as BigQuery and Cloud Storage.
- End-to-End Pipeline Engineering: Architect and optimize automated, robust data ingestion and transformation pipelines for both batch and real-time processing using Dataflow, Confluent Kafka, Pub/Sub, and Cloud Composer.
- Advanced Data Modeling: Translate complex business requirements into high-quality conceptual, logical, and physical data models, ensuring structural integrity and alignment with modern analytics and AI/ML workloads.
- Platform Modernization & Migration: Drive the strategic transition from legacy on-premise or hybrid data systems to cloud-native GCP solutions, defining modernization roadmaps and ensuring data consistency during re-platforming.
- Technical Leadership & Collaboration: Partner with cross-functional engineering and product teams to provide architectural guidance, establish standard methodologies for development, and ensure technical solutions meet business performance goals.
- Performance & Cost Optimization: Continuously monitor and refine the data platform architecture to maximize query performance and throughput while implementing strategies to optimize cloud resource consumption and operational costs.
Knowledge, Skills, and Abilities- GCP Data Stack Mastery: Deep technical expertise in architecting solutions using BigQuery, Dataflow, Pub/Sub, Confluent Kafka, and Cloud Composer.
- Advanced Data Engineering: Proficient in Dimensional, Vault, and Relational modeling and designing high-throughput ETL/ELT pipelines for complex batch and real-time streaming workloads.
- Automation & Optimization: Strong command of SQL, Python, and Infrastructure-as-Code (Terraform) to automate deployments and optimize platform performance and cost.
Minimum EducationBachelor's degree, in computer science, engineering, information systems and/or equivalent formal training.
Minimum ExperienceFive (5) years equivalent work experience in information technology or engineering environment.
Domicile Information This position is eligible for remote work and may be located anywhere within the United States excluding AK, HI and U.S. territories, however if you live within the 50 miles radius of a campus you will be required to work at a FedEx campus location several times per week.
Preferred Qualifications: Pay Transparency: Pay: USA: $8,007.29/mo - $18,149.85/mo, CO: $8,007.29/mo - $17,393.61/mo, CA: $8,452.14/mo - $14,413.11/mo, NJ: $8,452.14/mo - $13,523.42/mo, OH & VT: $8,452.14/mo - $14,368.63/mo, MN: $8,452.14/mo - $16,637.36/mo, IL & NV: $8,452.14/mo - $17,393.61/mo
Additional Details: Pay Transparency:The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment. In California, the compensation listed reflects the range or rate of pay reasonably expected for this posted position upon hire.
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