Sr. Staff Engineer, Data Engineering

**About the role** *Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.* We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics. As a Senior Staff Engineer, you will lead the architecture, data modeling, and core infrastructure powering our next-generation AI and analytics platforms. #### **Role and Responsibilities** - Architect, develop, and deploy global-scale distributed platforms and pipelines for massive data ingestion, transformation, and analytical reporting. - Design and refine backend infrastructure supporting Agentic AI workflows, autonomous systems, and conversational analytics with natural language interfaces. - Partner with application teams to define data strategies and durable conceptual models spanning OLTP/OLAP and generative AI architectures (e.g., RAG). - Evaluate data integration challenges and deliver optimized architectural solutions for complex business requirements. - Research emerging AI techniques and advanced machine learning methodologies to continuously enhance data design patterns. - Provide technical leadership and mentorship across the project lifecycle, focusing on efficient data modeling, prompt engineering, and high-performance data access services. #### Qualifications - At least 8 years of hands-on experience in architecture, design, or development of enterprise data solutions, applications, and integrations. - Proven experience designing and deploying Agentic AI systems and working with AI application frameworks. - Strong communication, presentation, and interpersonal skills with the ability to articulate complex concepts clearly. - Bachelor or Master degree in STEM majors. - Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility). - Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms. - Experience building products using at least 1 of each of the following distributed technologies: **- Relational Stores** (i.e. Postgres, MySQL, or Oracle) **- Columnar, NoSQL, or Vector Stores** (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector) **- Distributed Processing Engines** (i.e. Apache Spark, Apache Flink) **- Distributed Queues** (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub) - Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents). - Experience working with GCP, Azure, AWS, or similar cloud platform technologies. #LI-SC3