Remote Senior Data Engineering Architect

Verizon

Irving (TX)

On-site

USD 121,000 - 231,000

Full time

33 hours ago
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Job summary

Verizon is seeking a Senior Data Leader to design, build, and optimize enterprise data architecture. You will lead end‑to‑end data pipelines, manage cloud data warehouses, and integrate DevOps workflows across the data ecosystem.

You will mentor teammates, collaborate with cross‑functional partners, and advance data capabilities to stay ahead of emerging technologies including AI/ML automation and orchestration tooling.

Qualifications

  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant experience across data roles.
  • Five or more years hands‑on ETL/ELT development.
  • Experience in Data Modeling, Data Warehousing, and System Architecture.
  • Expert SQL and Python proficiency.
  • Hands‑on with cloud platforms (AWS and/or GCP).
  • Experience with workflow orchestration tools (Airflow, Talend).
  • Familiarity with Teradata and modern data stacks.

Responsibilities

  • Design and develop scalable, high‑performance data pipelines to cloud platforms.
  • Architect conceptual, logical, and physical data models for analytics.
  • Modernize enterprise storage and integrate legacy warehouses with cloud data platforms.
  • Implement DevOps practices (CI/CD) for data pipelines and automated testing.
  • Optimize SQL and Python workloads and orchestration workflows.
  • Evaluate and adopt AI/ML techniques within data engineering workflows.

Skills

ETL/ELT pipelines
SQL
Python
Cloud platforms (AWS/GCP)
Data Modeling
Data Warehousing
CI/CD
DevOps
Airflow
Talend
Git
Jenkins
AI/ML data workflows

Education

Bachelor's degree or equivalent
Degree in Computer Science or related field

Tools

Teradata
Apache Airflow
Talend
Git
Jenkins

Job description

Verizon is seeking a Senior Data Leader to design, build, and optimize enterprise data architecture. You will lead end‑to‑end data pipelines, manage cloud data warehouses, and integrate DevOps workflows across the data ecosystem.

You will mentor teammates, collaborate with cross‑functional partners, and advance data capabilities to stay ahead of emerging technologies including AI/ML automation and orchestration tooling.

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