Manager, Data Platform & Analytics Engineering

FedEx Corporation

Tennessee

Hybrid

USD 108,000 - 154,000

Full time

3 days ago
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Job summary

FedEx Corporation is seeking a Manager of Data Engineering for Hybrid roles across Memphis, Plano, or Pittsburgh. You will lead the data engineering organization responsible for enterprise data platforms, data lakehouse modeling, and scalable ingestion architectures.

The role emphasizes 24/7 production support, budget forecasting, cloud spend governance, vendor management, and strong leadership across cross-functional teams. A Bachelor’s degree and 5–8 years in data engineering are required.

Qualifications

  • Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline required.
  • 5–8 years of data engineering, analytics, and leadership experience.
  • Strong knowledge of enterprise data architectures, lakehouse patterns, and data governance.

Responsibilities

  • Lead strategic platform and pipeline architecture aligned with enterprise priorities.
  • Oversee 24/7 production support, incident management, and SLA adherence.
  • Manage FinOps, cloud spend forecasting, and vendor/contract governance.
  • Ensure data quality, metadata lineage, and security/compliance across data assets.

Skills

Leadership
Executive communication
Strategic thinking
People management

Education

Bachelor's Degree in Information Systems, Computer Science, or a quantitative discipline

Tools

Google Cloud Platform
BigQuery
Dataproc
Kafka
Data governance tools (e.g., Great Expectations)

Job description

FedEx Corporation is seeking a Manager of Data Engineering for Hybrid roles across Memphis, Plano, or Pittsburgh. You will lead the data engineering organization responsible for enterprise data platforms, data lakehouse modeling, and scalable ingestion architectures.

The role emphasizes 24/7 production support, budget forecasting, cloud spend governance, vendor management, and strong leadership across cross-functional teams. A Bachelor’s degree and 5–8 years in data engineering are required.

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