Design, build, and maintain scalable data pipelines, data models, and analytics solutions on Snowflake
Lead hands-on development of Agentic AI solutions within the data platform
Implement intelligent data quality checks, QA automation, reconciliation, and validation frameworks
Build automated impact analysis capabilities to assess downstream effects of changes to data pipelines, schemas, and business logic
Translate business and operational data problems into well-defined agent-based architectures
Integrate AI agents with enterprise data services including Snowflake and APIs
Partner with business stakeholders to identify high-value AI and data use cases
Provide technical leadership, code reviews, and architectural guidance to engineering teams
Ensure solutions meet enterprise standards for data security, privacy, auditability, and responsible AI
Continuously evaluate emerging data and Agentic AI technologies for practical enterprise adoption

Bachelor's degree in computer science, Engineering, or a related discipline
10+ years of hands-on experience in data engineering and analytics
Expertise designing and building data-driven solutions on Snowflake
Strong experience in data modeling, ETL/ELT pipelines, and data warehouse best practices
Hands-on experience delivering Agentic AI or AI-driven automation in the data domain
Experience with data quality frameworks and data impact analysis
Strong understanding of relational and dimensional data modeling
Experience integrating data platforms with APIs, metadata services, and analytics tools
Strong programming and problem-solving skills
Excellent stakeholder communication and collaboration skills

Senior Lead Data Engineer – Data & Agentic AI

Key skills