Overview
Skills
Job Details
Role: Lead Data Engineer/Architect (Retail & CDP Focus)
Location: Atlanta, GA (Hybrid)
Domain: Retail / Sales & Marketing
Overview:
We are seeking a Lead Data Engineer / Data Analyst with strong hands-on experience in Google Cloud Platform-based data engineering, marketing analytics, and CDP ecosystems. The ideal candidate will design, build, and optimize scalable data pipelines and workflows that power CRM, personalization, and campaign analytics for a leading retail client.
Key Responsibilities:
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Build and maintain data pipelines using Dataflow, Python/Spark, and Google Cloud Platform services.
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Design and orchestrate workflows using Apache Airflow or Google Cloud Composer.
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Develop robust data models and transformations in BigQuery, ensuring performance and scalability.
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Implement data quality, lineage, and governance standards across datasets.
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Collaborate with marketing and CRM teams to enable segmentation, targeting, and performance measurement.
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Partner with cross-functional teams to translate sales and marketing processes into actionable data solutions.
Required Skills:
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10 15 years of experience in data engineering / analytics, with Google Cloud Platform expertise.
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Strong programming in Python and SQL.
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Proven experience with BigQuery, Dataflow, Airflow/Composer, Data Quality Frameworks.
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Exposure to CDP tools (Amperity, Acxiom, or similar).
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Deep understanding of Sales & Marketing data domains, including campaign data, CRM, and customer journeys.
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Excellent communication and stakeholder management skills.
Bonus: Experience applying AI/ML or agentic automation for marketing intelligence and personalization.