Teams at 84.51°

Design, build, and maintain Databricks and cloud-based data pipelines and tooling to ingest, transform, store, and distribute large retail datasets. Implement automated testing, CI/CD, and pipeline orchestration, mentor junior engineers, collaborate on architecture and estimations, and drive improvements in data engineering practices and reliability.

Provide technical leadership for search and recommender systems: design, prototype, and deploy production-ready ML solutions (including LLM and agent-based methods); define evaluation and experimentation frameworks; partner with engineering on real-time serving, feature pipelines, and monitoring; drive cross-functional alignment and mentor data scientists.

Leads software engineering strategy, execution, and technical quality while managing, mentoring, and developing engineering teams. Partners with data science, engineering, product, business, and technology stakeholders to deliver enterprise software and AI-enabled data products. Drives continuous improvement, recruiting, technical maturity, operational effectiveness, and engineering best practices. Provides strategic leadership for prompt engineering, MLOps, cloud technologies, software architecture, deployment, testing, and performance optimization.