Senior Cloud Data Architect: Scale Global Platforms

Talentify

Alpharetta (GA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Career growth
Learning opportunities
Inclusive environment
Volunteer opportunities
Employee assistance program
Global recognition

Job summary

Global Payments is seeking a Data Engineer to join our Data Engineering & Platform Team. You will lead the architecture and evolution of cloud data platforms powering insights, analytics, and decision-making across the organization.

You will design scalable, secure data ecosystems and collaborate with engineers, analysts and business leaders. You will influence enterprise-wide data strategy, champion modern cloud technologies, and drive performance, reliability and cost-efficiency across data

Qualifications

  • Experience leading cloud data platform architectures at scale.
  • Expertise in GCP stack: Dataflow, BigQuery, Pub/Sub, Composer.
  • Strong Python and SQL for scalable ETL/ELT pipelines.

Responsibilities

  • Shape and evolve our cloud data ecosystem for analytics.
  • Deliver enterprise data solutions translating business needs.
  • Lead data engineering practices, governance, and automation.
  • Mentor engineers and set best practices for delivery.
  • Improve performance, security, and cost-efficiency of data platforms.

Skills

GCP
BigQuery
Dataflow
Pub/Sub
Composer
Snowflake
Python
SQL
ETL/ELT
Mentoring

Education

Master’s degree in CS/Engineering

Tools

Terraform
CI/CD
dbt

Job description

Global Payments is seeking a Data Engineer to join our Data Engineering & Platform Team. You will lead the architecture and evolution of cloud data platforms powering insights, analytics, and decision-making across the organization.

You will design scalable, secure data ecosystems and collaborate with engineers, analysts and business leaders. You will influence enterprise-wide data strategy, champion modern cloud technologies, and drive performance, reliability and cost-efficiency across data

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