To govern and deliver modern data and analytics platforms, the full-time salaried Lead Solutions Architect, Data Analytics Engineering will architect enterprise-scale data products, define engineering standards, and drive modernization efforts while collaborating with cross-functional teams in a hybrid work environment. Key responsibilities Design and govern scalable ELT architectures and lead the development of complex data pipelines and decision intelligence solutions Establish DataOps best practices across squads and oversee CI/CD pipeline components to ensure reliability and governance Mentor junior engineers and facilitate stakeholder sessions to align business requirements with architecture decisions Required qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field 7+ years of experience in Data Engineering, Analytics Engineering, or Decision product development Deep expertise in data modeling, ELT architecture, and enterprise data ecosystems Advanced Snowflake engineering skills, including VWH optimization and RBAC frameworks Strong proficiency with Tableau or similar analytics platforms