- Zensar
- Atlanta, GA
- Full-Time
- 66 days ago
- $89,900 – $149,800
GCP Data Engineering Lead.
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GCP Data Engineering Lead: our view in 3 lines...
- The Role:This role is for a lead data engineer focused on GCP-based analytics, CRM, personalization, and measurement work.
- The Person:The person will lead CRM, CDP, personalization, and measurement work, build and optimize data pipelines, resolve data quality issues, develop dashboards, and mentor junior team members.
- Requirements:The role requires expertise in GCP, Airflow, BigQuery, Dataflow, Looker, SQL, Python, and Customer Data Platforms such as Amperity or Acxiom.
About the role
Job Title : Lead GCP Data Engineer.
Location: Atlanta, GA. (Hybrid – 3 days onsite)
Key Responsibilities:
- Lead analytics and engineering efforts across CRM, CDP, and personalization programs, enabling segmentation, targeting, lifecycle marketing, and campaign execution.
- 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.
- 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.
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

