Job
Description
As a Cloud Architect with over 18 years of experience, located in Chennai, you will play a crucial role in managing and leading Data & AI projects and programs. Your primary responsibilities will include: - Experience with any cloud platforms (e.g., AWS, Azure, Google Cloud) and Big Data technologies (e.g., Hadoop, Spark). - Implementation experience of various Data Management projects such as Data platform Modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handling, streaming, unstructured data, Gen AI integration. - Managing the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery; assessment, architectural alignment; design, define standards, and best practices, guide architects; team during implementation and Deployment. - Excellent understanding of various architectural patterns to ingest and process data from batch and streaming data sources. - Experience with NoSQL databases. Additionally, your secondary skills will involve P&L responsibility including Budgeting, Forecasting, and Financial Reporting for Data & AI Projects and Programs. In this role, you will be responsible for: - Leading and managing a portfolio of Data & AI projects and programs across multiple accounts. - Developing and implementing Data strategies that align with Business Objectives and drive value for clients. - Overseeing the Design, Development, and Deployment of advanced data analytics solutions, including machine learning models, predictive analytics, and AI-driven insights. - Collaborating with cross-functional teams, including data engineers, data scientists, and business analysts, to ensure successful project delivery. - Providing strategic guidance and thought leadership on data and analytics best practices, including data governance, data quality, and data security. - Managing and mentoring a team of data scientists, analysts, and engineers, fostering a culture of innovation and continuous improvement. - Ensuring compliance with relevant regulations and industry standards. - Monitoring project performance, including key performance indicators (KPIs) and return on investment (ROI), and providing regular updates to stakeholders. - Identifying opportunities for innovation and continuous improvement in data and analytics processes. - Taking ownership of P&L responsibilities, including budgeting, forecasting, and financial reporting for the Data & AI projects and programs. - Driving cost optimization and efficiency in project execution to maximize profitability. Your solid foundation in Data Analytics and experience with managing cloud platforms will be instrumental in excelling in this role.,