Senior Full Stack Engineer (Customer Data Platform (CDP) and Audience Builder)

Frisco, TX, US • Posted 23 hours ago • Updated 23 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
12 Months
Travel Required
On-site
$65+
Fitment

Dice Job Match Score™

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Job Details

Skills

  • customer Data Platforms (CDP)
  • Audience Builder
  • UI
  • Full Stack

Summary

Role: Senior Full Stack Engineer (Customer Data Platform (CDP) and Audience Builder)

Location: Atlanta, GA/Frisco, TX (Onsite)

Type: Contract

Job Description

  • Role Overview We are looking for a Senior Full Stack Engineer to build and scale a Customer Data Platform (CDP) and Audience Builder solution, enabling real-time segmentation, preview, and activation of customer audiences with AI-assisted capabilities.
  • Develop React-based audience builder UI for segmentation, preview, and activation workflows Build scalable APIs and middleware to orchestrate audience creation, validation, preview, and activation Enable audience preview capabilities with fast, accurate
  • insights before activation Integrate with data platforms: Databricks / Delta Lake (data processing) ClickHouse (high-performance analytical querying) Redis (low-latency caching).
  • Kafka / Azure Event Hubs (real-time streaming) Support audience activation into
  • downstream systems (campaigns, engagement platforms) Build AI-assisted segmentation and customer preview experiences Ensure scalable, low-latency, and reliable system performance Deploy and manage applications on Kubernetes / AKS with CI/CD best
  • practices Required Skills Frontend: React, TypeScript, Next.js (data-driven UI development).
  • Backend: Python or Node.js, REST API development, middleware design Data: Strong SQL, experience with Databricks, Delta Lake, and ClickHouse Streaming & Caching:
  • Kafka / Event Hubs, Redis Cloud & DevOps: Kubernetes (AKS), microservices architecture.

Nice to Have :

  • Experience with Customer Data Platforms (CDP) / marketing tech systems Exposure to AI/ML-driven product features (recommendation, segmentation).
  • Experience with large-scale, real-time data systems Key Expectations Strong end-to-end ownership (UI + backend + data integration)
  • Experience building data-intensive, real-time applications Ability to design scalable and performant systems Focus on customer experience, usability, and speed Business Impact Enable scalable audience creation and activation, driving personalization, campaign effectiveness, and customer engagement at scale.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10124157
  • Position Id: 9008778
  • Posted 23 hours ago
Contact the job poster
IA

Imran Ali

Recruiter @ e-IT Professionals Corp.
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