• Architect and scale next-generation big data ecosystem. • Leverage Databricks to design robust ETL pipelines, implement sophisticated data models, and integrate diverse streaming and API sources. • Bridge the gap between complex engineering requirements and actionable business insights. • Ensure high-performance and compliance of data infrastructure. • Build and maintain high-performance, scalable ETL/ELT pipelines. • Architect robust integrations across ecosystem, including APIs and databases. • Implement data transformation logic, data enrichment, and cleansing protocols. • Develop high-efficiency data models and schemas, maximizing query performance. • Oversee and optimize cloud-based infrastructure using containerization and distributed computing. • Empower Machine Learning initiatives and collaborate with Data Science teams for predictive models. • Design and implement Zero-Touch automation for CI/CD. • Execute data governance, lineage tracking, and access controls. • Maintain comprehensive technical documentation.