Senior Backend/Data Platform Engineer (Audience & Activation Systems)

• 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
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• Apply easily

• 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 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