Senior BackendData Platform Engineer (Audience & Activation Systems)

Job Location:

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 28 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 Backend/Data Platform Engineer (Audience & Activation Systems)

Location: Atlanta GA & Frisco TX

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Job Description:

Role Overview:

We are looking for a Senior Backend/Data Platform Engineer to design and build scalable audience computation customer profile serving and real-time activation systems.
This role focuses on large-scale data processing streaming architectures and low-latency data access to enable advanced customer segmentation and activation.

Key Responsibilities:

Audience & Segmentation Systems
Build scalable audience computation and segmentation services for large datasets
Develop audience materialization pipelines (batch/persistent outputs) Implement identity-aware audience logic (deduplication user stitching cross-channel identity resolution) Customer Profile & Serving Layer Build and optimize customer profile serving systems for low-latency access
Enable real-time profile lookup and enrichment for downstream applications
Real-Time Activation & Streaming Develop real-time activation pipelines using Kafka / Azure Event Hubs
Enable event-driven data flows for audience activation into downstream systems
Ensure scalable and reliable stream processing architectures

Data Platform & Performance Optimization:

Optimize audience preview (low-latency queries) and materialization (batch pipelines) Work with: Databricks / Spark for large-scale processing Delta Lake for storage and reliability Click House / Pinot for high-performance analytical queries Use Redis for caching and fast data access Backend & API Development Build scalable APIs and services using Python (FastAPI preferred) Design robust microservices and distributed systems
Ensure high performance availability and reliability Cloud & DevOps Deploy and manage services on Kubernetes / AKS Implement CI/CD monitoring and scaling strategies
Ensure fault-tolerant and resilient systems

Required Skills:

Strong Python with backend frameworks (FastAPI preferred)
Experience with Spark Databricks
Strong knowledge of Delta Lake and ClickHouse/Pinot Hands-on with Kafka / Event Hubs and Redis
Strong understanding of distributed systems and streaming architectures
Experience with Kubernetes / AKS

Nice to Have:

Experience with Customer Data Platforms (CDP) / audience systems
Exposure to identity resolution and customer 360 solutions
Experience with large-scale datasets (TB/PB)

Key Expectations:

Strong ownership of backend data platform components
Ability to design low-latency high-scale systems
Experience in real-time and batch data processing Strong problem-solving and system optimization skills Business Impact
Enable scalable audience segmentation customer profile serving and real-time activation driving personalization and engagement at scale.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

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 B...