Bangalore, Karnataka, India
Information Technology
Full-Time
Cognizant
Overview
Cloud Architect
Exp : 18+ years
Location : Chennai only
Notice : Imm to 60 days
Mandatory
PLease check for between 19 to 24 and solid foundation in Data Analytics and one Cloud (AWS, Azure, GCP) with Managing skills. That should be it
Primary Skills
Exp : 18+ years
Location : Chennai only
Notice : Imm to 60 days
Mandatory
PLease check for between 19 to 24 and solid foundation in Data Analytics and one Cloud (AWS, Azure, GCP) with Managing skills. That should be it
Primary Skills
- 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 but not limited to Data platform Modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases – handling,streaming, unstructured data, Gen AI integration.
- Manage 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
- P&L responsibility including Budgeting, Forecasting and Financial Reporting for Data & AI Projects and Programs
- Lead and manage a portfolio of Data & AI projects and programs across multiple accounts.
- Proven experience in managing large-scale data and AI projects with a strong technical background.
- Develop and implement Data strategies that align with Business Objectives and drive value for clients.
- Oversee the Design, Development, and Deployment of advanced data analytics solutions, including machine learning models, predictive analytics, and AI-driven insights.
- Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to ensure successful project delivery.
- Provide strategic guidance and thought leadership on data and analytics best practices, including data governance, data quality, and data security.
- Manage and mentor a team of data scientists, analysts, and engineers, fostering a culture of innovation and continuous improvement.
- Ensure compliance with relevant regulations and industry standards.
- Monitor project performance, including key performance indicators (KPIs) and return on investment (ROI), and provide regular updates to stakeholders.
- Identify opportunities for innovation and continuous improvement in data and analytics processes.
- Take ownership of P&L responsibilities, including budgeting, forecasting, and financial reporting for the Data & AI projects and programs.
- Drive cost optimization and efficiency in project execution to maximize profitability.
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