Lead GCP Data Engineer/Analyst (Retail & CDP Focus)

SolutionIT, Inc.

Atlanta, GA, United States

16 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$130,000.0 - $155,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Airflow Data Analysis Big Data BigQuery Customer Data Management Data Systems Data Flow Control Python (Programming Language) SQL Databases Google Cloud Information Technology Data Analytics

+3 more

Virtual Agents Looker Analytics Data Pipelines

Job description

Job Title : GCP Data Engineer Location: Atlanta, GA. (Hybrid 3 days onsite) Role Overview: We are seeking a highly skilled and technically proficient Data Engineer with Googl…

1 day ago
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Requirements

We are seeking a highly skilled and technically proficient Lead Data Analyst/Data Engineer with deep expertise in Customer Data Platforms (CDPs), Google Cloud Platform (GCP), and data pipeline orchestration tools like Airflow. This role is critical to driving our CRM, personalization, and measurement initiatives, and will require someone who can hit the ground running with minimal onboarding. The ideal candidate will bring strong retail domain knowledge, hands-on experience with big data ecosystems, and a proven ability to architect and optimize scalable, modular data solutions. You will be expected to lead technical conversations, resolve complex data issues, and mentor junior team members while collaborating cross-functionally with marketing, product, and engineering teams., * Bachelor’s or master’s degree in data science, Computer Science, Statistics, or related field. 15+ years of experience in data analytics and engineering, with at least 3 years in a lead or SME role.

Proven experience in retail industry, with deep understanding of customer behaviour, merchandising, and omnichannel strategies.
Hands-on expertise with GCP, including Big Query, Cloud Composer (Airflow), Dataflow, and Looker.
Strong experience with Customer Data Platforms such as Amperity, Acxiom, or similar. Proficiency in SQL, Python, and modular code development for analytics and engineering workflows.
Deep understanding of CRM data structures, personalization logic, campaign execution, and marketing measurement. Ability to work independently, take ownership, and deliver results with minimal guidance.
Excellent communication skills, with the ability to present complex data insights to senior stakeholders. Experience with agentic AI frameworks or similar technologies is a strong plus.