Cloud Data Solution Architect

Overview

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).

• 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 platforms such as Databricks (Delta Lake, Unity Catalogue), Snowflake and Cortex AI, Five Tran, 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.
• 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 the 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.

Salary Range - $150,000-$175,000 a year.