• Lead and participate in discovery conversations to understand client goals, constraints, and current-state data environments • Guide clients through data platform, architecture, and tooling decisions, clearly explaining options and tradeoffs • Design and deliver technical roadmaps that support scalable data and analytics platform adoption • Apply strong data modeling and engineering best practices to support analytics, reporting, AI, and machine learning use cases • Stay current on modern data engineering trends, cloud platforms, and emerging technologies • Design and build modern, reliable data pipelines and ETL/ELT frameworks • Architect cloud-native data infrastructure with a focus on scalability, maintainability, and data quality • Integrate and unify data from diverse sources including SQL databases, APIs, spreadsheets, and cloud storage • Own technical direction for client engagements, balancing best practices with real-world constraints • Collaborate closely with analysts, consultants, and client stakeholders to translate business needs into technical solutions • Deliver billable consulting services, including hands-on engineering work and client advisory engagements