Cloud Data Architect — GCP & Data Platform Leader

Greater Giving, Inc.; Alpharetta, Northern (GA, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Global benefits package

Career growth opportunities

Learning & development programs

Inclusive team environment

Wellbeing programs

Equity/bonus potential

Job summary

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

You’ll influence enterprise-wide data strategy, champion modern cloud technologies, and help ensure our data ecosystems remain scalable and secure. Bring a track record of building large-scale data warehouses/lakes, proficiency with GCP (BigQuery,

Qualifications

• Significant experience leading cloud data platforms architecture and delivery.
• Strong programming and data modeling skills in Python and SQL.

Responsibilities

• Shape the future of our cloud data ecosystem with scalable architectures.
• Deliver enterprise data solutions that accelerate analytics and business outcomes.
• Lead data engineering practices with governance and automation.
• Influence technical direction with architectural leadership and mentoring.
• Optimize data platform performance, security, and cost efficiency.

Skills

Data architecture

Python

SQL

Mentoring

Stakeholder comms

Tools

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Snowflake

Job description

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

You’ll influence enterprise-wide data strategy, champion modern cloud technologies, and help ensure our data ecosystems remain scalable and secure. Bring a track record of building large-scale data warehouses/lakes, proficiency with GCP (BigQuery,