Senior Backend/Data Platform Engineer (Audience & Activation Systems)
Tekwissen
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:
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.
- 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
- 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
- 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
- Experience with Customer Data Platforms (CDP) / audience systems
- Exposure to identity resolution and customer 360 solutions
- Experience with large-scale datasets (TB/PB)
- 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.
Vacancy posted 9 hours ago
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