• Formulate forward-looking data strategies aligned with client business objectives and industry best practices. • Design and oversee large-scale lakehouse and warehouse implementations on Databricks (must-have) and other cloud-native technologies. • Create solutions that integrate on-premises and multiple cloud environments seamlessly. • Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns. • Ensure security, privacy, compliance, and data quality at scale on client engagements. • Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery. • Introduce emerging technologies and methodologies to keep client solutions at the cutting edge. • Drive performance, cost optimization, scalability, and maintainability across data engineering solutions. • Mentor engineers, review architectures and code, and guide teams through implementation. • Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements. • Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs. • Partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise.