Cloud Data Architect-BFSI

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


- Strong ability and experience in engaging with both technical and non-technical stakeholders


- Strong teaming, communications and analytical skills


- Dedicated, resourceful and able to work under pressure


- As 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.