Zensar Technologies

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GCP Data Engineering Lead

Summary

Leads GCP-based data engineering for retail CRM and CDP systems, designing scalable pipelines with Airflow and BigQuery to power personalization and marketing campaigns.

Why Zensar?
We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
What is this role about?
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.

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.

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.
Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.
All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.
Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice
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