Senior Data Engineering Manager — Cloud & Architecture

UnitedHealth Group

Dublin

Hybrid

Confidential

Full time

3 days ago
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Benefits offered by this job

Flexible work arrangements

Job summary

Optum in Ireland is seeking a Senior Manager Data Engineering to lead a team of data engineers, architect scalable data solutions, and drive cloud migration from on-prem to the cloud. You will partner with business users to deliver analytics pipelines and ensure governance across data platforms.

The role offers hybrid work between Dublin and Letterkenny offices and home-based options. The role emphasizes leadership, enterprise-scale data design, and collaboration with Data Science and Product

Qualifications

  • Bachelor's degree or higher in Computer Science, IT, or a related field.
  • Experience in data architecture and enterprise data platforms.
  • Experience with cloud data technologies (AWS, Azure, GCP).
  • Knowledge of data modeling, data governance, and security best practices.
  • Strong communication and stakeholder-management skills.

Responsibilities

  • Lead a team of data engineers and manage stakeholder relationships.
  • Design scalable data architectures compliant with enterprise standards.
  • Plan and execute data integration and migration projects.
  • Collaborate with Data Science and Product leaders on analytics pipelines.
  • Mentor team members and drive best practices.

Skills

Data pipelines
Team leadership
Cloud platforms
Spark / Hadoop
Apache Airflow
Kubernetes
Snowflake
Azure Databricks

Education

Bachelor's degree in Computer Science or related

Tools

Kafka
Azure Databricks
Snowflake
Airflow
Hadoop
Spark
Kubernetes

Job description

Optum in Ireland is seeking a Senior Manager Data Engineering to lead a team of data engineers, architect scalable data solutions, and drive cloud migration from on-prem to the cloud. You will partner with business users to deliver analytics pipelines and ensure governance across data platforms.

The role offers hybrid work between Dublin and Letterkenny offices and home-based options. The role emphasizes leadership, enterprise-scale data design, and collaboration with Data Science and Product

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