Data Architect

Get AI-powered advice on this job and more exclusive features. Strong experience in Solution Data Architecture (Data & Analytics) : Defining Data Strategy and implementation roadmap for large organisations Must have prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Must demonstrate knowledge of data architecture patterns Should have prior professional experience in Data Management, Data Quality, Data Governance, Data modelling, Master Data Management and Data architecting skills including strong foundation in data warehousing concepts, dimensional data modelling and a variety of data models including data Mesh etc Demonstrate experience across different Cloud data platform (AWS, GCP & Azure) Including leading Data and Analytics tech stacks like Databricks, Snowflake, Data Virtualization tools, Big Data, data warehouse, data analytics projects, and/or any Information Management related projects Demonstrate experience in Advance Analytics, Machine learning and AI/Gen AI. Experience & Responsibilities Should have prior professional experience in Data Management, Data Quality, Data Governance, Data modelling, Master Data Management and Data architecting skills including strong foundation in data warehousing concepts, dimensional data modelling and a variety of data models including data Mesh etc Demonstrate experience across different Cloud data platform (AWS, GCP & Azure) Including leading Data and Analytics tech stacks like Databricks, Snowflake, Data Virtualization tools, Big Data, data warehouse, data analytics projects, and/or any Information Management related projects Demonstrate experience in Advance Analytics, Machine learning and AI/Gen AI. Lead transformation effort for Large opportunities i.e. build strategy and multi-year Transformation roadmap for our customers Strong ability and experience in engaging with both technical and non-technical stakeholders Define Data and Technology Architecture, Solutioning and patterns on-prem/hybrid/Cloud using native and other partners/tools with recommendations that suits customers context and objectives Drive and Participate in Architecture reviews both internal and client teams Hand on data management, warehousing, integration, data movement, data modeling, Master Data Management Research and make recommendations for training, equipment, and technology to improve data use Build connects with Client's Senior Leadership CXOs/D&A Heads and work with them to develop clear Data and Analytics Strategy and Architecture that supports their business goals and objectives. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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