Senior Cloud Data Engineering Manager

CVS Health

Hartford (CT)

On-site

USD 107,000 - 261,000

Full time

6 days ago
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Job summary

CVS Health is seeking a Senior Technical Manager to lead modernization of the Investment Management data warehouse from on-premises SQL Server to a cloud-native Google Cloud Platform solution, with BigQuery at the core. You will guide data pipelines, analytics, and AI-enabled access to support business transformation.

The role requires 10+ years in data/tech leadership, strong GCP expertise, and proven experience delivering large-scale data warehouse modernization programs.

Qualifications

  • 10+ years in data engineering, analytics engineering, or related technology leadership roles.
  • Strong hands-on or leadership experience with Google Cloud Platform, including BigQuery architecture, data modeling, performance tuning, cost optimization, and security.
  • Proven experience leading large-scale data warehouse modernization or cloud migration programs.
  • Strong understanding of modern data architecture patterns and governance.
  • Programming foundation in Python with data engineering, automation, APIs or AI/ML workflows.

Responsibilities

  • Lead migration strategy to modernize Investment Management data warehouse to cloud-native platform.
  • Modernize data pipelines and reporting capabilities for governed analytics.
  • Enable analytics through Looker and AI-enabled data access using Vertex AI.
  • Manage technical teams and deliver across complex, multi-stakeholder programs.

Skills

Leadership
Strategic thinking
Stakeholder communication

Education

Bachelor's Degree
Master's Degree Preferred

Tools

Google Cloud Platform
BigQuery
Looker
Vertex AI
Python
CI/CD

Job description

CVS Health is seeking a Senior Technical Manager to lead modernization of the Investment Management data warehouse from on-premises SQL Server to a cloud-native Google Cloud Platform solution, with BigQuery at the core. You will guide data pipelines, analytics, and AI-enabled access to support business transformation.

The role requires 10+ years in data/tech leadership, strong GCP expertise, and proven experience delivering large-scale data warehouse modernization programs.

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