Senior Full Stack Engineer (Audience Builder & CDP)
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: Senior Full Stack Engineer (Audience Builder & CDP)
Location: Atlanta GA & FRISCO TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
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.
Key Responsibilities:
- 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 (data-driven UI development) Backend: Python or 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.
TekWissen Group is an equal opportunity employer supporting workforce diversity.