GCP Data Engineer

Acunor Inc; Atlanta (GA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Acunor Inc. is seeking a GCP Data Engineer in Atlanta, hybrid role (3 days onsite). You will architect scalable data pipelines on GCP, lead data initiatives across marketing and product teams, and mentor junior analysts.

Strong background in retail data, CDPs, and Looker dashboards is required. You will own end-to-end data ingestion, quality, and measurement workflows, working with Amperity/Acxiom or similar CDPs.

Qualifications

• Requires 15+ years in data analytics/engineering with leadership/SME experience
• Retail industry experience with omnichannel knowledge strongly preferred
• Proficient in GCP stack and CDPs such as Amperity/Acxiom or equivalents
• Strong communication skills for presenting data insights to executives
• Proven ability to mentor junior analysts and lead cross-functional data projects

Responsibilities

• Architect and optimize data pipelines using Airflow, BigQuery and other GCP-native tools
• Analyze and resolve data quality issues across CDPs ensuring accurate customer profiles
• Design modular, production-grade code for data ingestion, transformation and measurement workflows
• Develop dashboards and reporting using Looker/BigQuery; maintain data models
• Collaborate with marketing, product and engineering teams to translate business needs into data products
• Lead strategic data discussions with senior stakeholders; drive decisions with actionable insights
• Serve as SME in data engineering and analytics; promote best practices in governance and storytelling
• Apply agentic AI techniques to automate insight generation and personalization

Skills

Leadership

Stakeholder communication

Mentoring

Data governance

Education

Bachelor's or Master's in data science/CS/statistics

Tools

GCP Suite (BigQuery, Cloud Composer, Dataflow, Looker)

Airflow

SQL

Python

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 Google Cloud Platform (GCP), and data pipeline orchestration tools like Airflow. T

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.

Key Responsibilities:

• Architect and optimize data pipelines using Airflow, BigQuery, and other GCP-native tools to support scalable and reusable workflows.
• Analyze and resolve data quality issues across platforms like Amperity, Acxiom, and other CDPs, ensuring accurate customer profiles and campaign performance.
• Design and implement modular, production-grade code for data ingestion, transformation, and measurement workflows.
• Develop and maintain dashboards and reporting frameworks using GCP-native solutions (e.g., Looker, BigQuery).
• Collaborate with cross-functional teams to translate business needs into technical solutions and data products.
• Lead strategic data discussions with senior stakeholders, influencing decisions through actionable insights and technical expertise.
• Serve as a Subject Matter Expert (SME) in data engineering and analytics, mentoring junior analysts and promoting best practices in data governance, storytelling, and campaign measurement.
• Apply agentic AI techniques to automate insight generation and enhance personalization and marketing intelligence.

Required Qualifications:

• 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.