Role Overview: As a Manager, you will lead the technical strategy and delivery of Databricks-centric data platforms. You will bridge the gap between business requirements and technical architecture, ensuring that the Databricks ecosystem is scalable, cost-effective (FinOps), and perfectly integrated into the broader Azure data landscape. Experience: • 7–10 years of experience in data engineering, with significant experience architecting solutions on Azure Databricks. • Expertise in designing end-to-end Data Lakehouse architectures. • Proven experience in Databricks FinOps (managing DBU consumption and cluster policies). • Strong leadership experience in managing technical teams and project lifecycles. Key Responsibilities: Technical Skills: • Architect large-scale, enterprise-grade data platforms using the Databricks Data Intelligence Platform. • Define and enforce technical standards for data modeling, Spark optimization, and coding patterns. • Drive Databricks FinOps initiatives by designing efficient cluster policies and optimizing resource utilization. • Lead the integration of Databricks with Azure Synapse, Power BI, and advanced Machine Learning workflows. • Oversee the implementation of enterprise-wide data governance and security frameworks. • Manage technical project delivery, ensuring alignment with business timelines and quality standards. Soft Skills: • Strong leadership, mentorship, and people management abilities. • Strategic thinking and ability to translate business needs into technical roadmaps. • Excellent stakeholder management and communication skills. Preferred Qualifications: • Bachelor’s or Master’s degree in Computer Science or related field. • Databricks Solutions Architect or Azure Solutions Architect certifications. Job Details: • Location: Mumbai (Hybrid)