Senior / Staff Data Engineer | AI, Data Platforms & Data Products

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Описание

Accountabilities - Design, build, and evolve modern cloud-based data infrastructure and scalable data platforms from the ground up. - Develop reliable data pipelines, distributed systems, and event-driven architectures that support business-critical applications and products. - Work across technologies such as AWS, Snowflake, Databricks, Spark, Airflow, and dbt to create robust and maintainable data solutions. - Develop AI-enabled data capabilities, including LLM-powered workflows, agentic data solutions, semantic layers, and natural-language analytics experiences. - Build self-service analytics platforms and customer-facing or embedded data products that improve product adoption, customer experience, and commercial performance. - Address complex challenges involving data streaming, governance, metadata management, and knowledge systems. - Evaluate emerging technologies and identify opportunities to improve the data platform as the AI and data ecosystem evolves. - Own systems throughout their lifecycle, including deployment, production reliability, observability, performance monitoring, incident response, and on-call support. - Define architectural direction, establish engineering standards, and make informed technical decisions that support long-term scalability. - Collaborate with technical leadership and cross-functional teams to identify high-impact problems, prioritize solutions, and connect engineering investments to business outcomes. - Mentor other engineers, share te

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