Cloud Data Architect

Must Have skills : Cloud Data Architect, Snowflake, demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue), Snowflake, Cortex AI, Five Tran, DBT. On Data front Hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault)

Roles & Responsibilities
- Strong experience in Cloud Data Architecture and Roadmap and effectively engaging various client Stakeholders on the architecture proposition.
- Strong experience in Solution Architecture (Data & Analytics)
- 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
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with minimum 2-3 years experience in doing cloud projects
- Strong solution implementation experience (platform engineering, developer experience)
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, dimensional data modelling and a variety of data models including data vault
- Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake and Cortex AI, FiveTran, dbt, Data Virtualization tools
- Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
- Lead transformation effort for Large opportunities i.e. build strategy and multi-year Transformation roadmap for our customers
- Dedicated, resourceful and able to work under pressure
- s part of Presales support, should be able to shape large multi-million value Deals both proactive and reactive by driving TCS positioning with customers and build business for TCS
- Develop Point of views, solution approaches & pitches for new opportunities
- Define Data and Technology Architecture and patterns on-prem/hybrid/Cloud using native and other partners/tools with recommendations that suits customer's context and objectives
- On Data front strong in Data Governance, MDM and Data Modeling
- Drive and Participate in Architecture reviews both internal and client teams
- Oversee data management, warehousing, integration, data movement, and delivery across assigned data initiatives.
- Examine data, processes, and technologies to determine the current state and critical problems of Customer's data and analytics journey
- Research and make recommendations for training, equipment, and technology to improve data use
- Build connect 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.