Teams at Experity

Develops software applications incorporating artificial intelligence. The provided description contains no further responsibilities, qualifications, technologies, compensation, travel, sponsorship, or clearance details.

Own analytical domains and build production-grade semantic models, governed metrics, reusable datasets, and AI-ready data products. Translate ambiguous requirements into scalable solutions using SQL, Python, Snowflake, and dbt. Establish testing, documentation, monitoring, and data-quality controls while partnering with analytics, engineering, product, architecture, and business teams. Review designs, troubleshoot production issues, define reusable patterns, and mentor engineers.

Leads and develops a data engineering team while owning scalable cloud data platforms, pipelines, reliability, governance, security, and delivery execution. Partners with Product, Analytics, AI/ML, Security, and architecture stakeholders to modernize data infrastructure, improve quality and observability, manage costs, and enable trusted analytics and AI-ready data products. Requires strong technical engagement in SQL, Python, cloud platforms, distributed processing, and modern DataOps practices alongside people management.