Senior Software Engineer, Stats Analytics - Data Platform

📋 Description

• • Own the design, development, and scaling of the core data platform that ingests, processes, and serves 465 billion automated optimizations per second, ensuring sub-millisecond latency for real-time bidding decisions.
• • Architect fault-tolerant, distributed systems that handle petabyte-scale event streams from ad exchanges, supply-side platforms, and first-party data partners, guaranteeing 99.99 % uptime for global campaigns.
• • Build and maintain high-throughput data pipelines using Kafka, Spark, and Flink to transform raw click, impression, and conversion data into actionable analytics that power StackAdapt’s AI-driven optimization engine.
• • Lead the evolution of our Stats & Analytics layer by implementing advanced statistical models, anomaly detection, and causal inference techniques that enable marketers to measure incrementality and lifetime value with confidence.
• • Collaborate with product managers, data scientists, and customer success teams to translate complex marketing questions into elegant technical solutions, directly influencing the roadmap for audience segmentation, attribution, and forecasting features.
• • Optimize columnar storage formats (Parquet, ORC) and query engines (Presto, Trino) to deliver interactive dashboards and APIs that surface real-time metrics to thousands of concurrent users across the globe.
• • Establish data governance and privacy-by-design practices that comply with GDPR, CCPA, and emerging regulations while still enabling granular audience insights and campaign performance analysis.
• • Mentor junior engineers through code reviews, pair programming, and architecture guilds, fostering a culture of continuous learning and technical excellence within the fully remote engineering organization.
• • Drive incident response and post-mortems for critical data outages, implementing automated monitoring, alerting, and self-healing mechanisms that reduce mean time to recovery and prevent recurrence.
• • Evaluate and integrate emerging open-source technologies—such as Delta Lake, Iceberg, or ClickHouse—to keep the platform at the forefront of performance, cost-efficiency, and developer velocity.
• • Partner with finance and operations teams to forecast cloud spend, implement auto-scaling policies, and negotiate reserved capacity that balances performance SLAs with a multi-million-dollar infrastructure budget.
• • Champion a test-driven, DevOps mindset by shipping infrastructure as code (Terraform, Helm), containerized microservices (Kubernetes), and comprehensive CI/CD pipelines that deploy to production multiple times per day.
• • Contribute to StackAdapt’s engineering blog and speak at meetups or conferences, sharing insights on building planet-scale data systems and cementing the company’s reputation as a thought leader in ad-tech analytics.