• Design and deliver relational and non-relational database models, data pipelines, reporting, and visualization solutions while supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing, and deployment. • Develop, maintain, and scale robust ETL/ELT pipelines across HR data sources (e.g., Workday, Greenhouse Recruiting, internal tools such as Arbor), ensuring reliability, performance, and extensibility. • Architect and implement scalable data models optimized for analytical querying and long-term maintainability. • Ensure data quality, integrity, and reliability across all data assets, introducing automation and best practices for monitoring and validation. • Collaborate with People Analytics stakeholders to translate requirements into sound technical solutions and influence longer-term data architecture decisions. • Manage and optimize cloud data warehouse infrastructure (e.g., Snowflake), including performance tuning, cost management, and secure access patterns. • Leverage AI and LLMs to automate data quality checks, enhance metadata management, and extract insights from unstructured HR data. • Stay current on technology best practices and advocate for engineering excellence across the People Analytics team. • Own and manage data governance, security, privacy, and retention standards across all People Analytics systems.