Vice President-Databricks Squad Delivery lead

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. 

Inviting applications for the role of Vice President,Databricks Squad Delivery lead 

The Databricks Delivery Lead will oversee the end-to-end delivery of Databricks-based solutions for clients, ensuring the successful implementation, optimization, and scaling of big data and analytics solutions. This role will drive the adoption of Databricks as the preferred platform for data engineering and analytics, while managing a cross-functional team of data engineers and developers.. 

Responsibilities 

• Lead and manage Databricks-based project delivery, ensuring that all solutions are designed, developed, and implemented according to client requirements, best practices, and industry standards. 

• Act as the subject matter expert (SME) on Databricks, providing guidance to teams on architecture, implementation, and optimization. 

• Collaborate with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads. 

• Serve as the primary point of contact for clients, ensuring alignment between business requirements and technical delivery. 

• Maintain effective communication with stakeholders, providing regular updates on project status, risks, and achievements. 

• Oversee the setup, deployment, and optimization of Databricks workspaces, clusters, and pipelines. 

• Ensure that Databricks solutions are optimized for cost and performance, utilizing best practices for data storage, processing, and querying. 

• Continuously evaluate the effectiveness of the Databricks platform and proc