Data Architecture and Modeling

Must Have Skills

• Cloud Data Architect, Snowflake
• Hands‑on experience on Databricks (Delta Lake, Unity Catalogue)
• Cortex AI, Five Tran, DBT
• Data Quality, Data Governance, MDM, and Data Modeling (Data Products, Data Mesh, Data Vault)

• Strong experience in Cloud Data Architecture and roadmap, engaging various client stakeholders on the architecture proposition.
• Strong experience in Solution Architecture (Data & Analytics).
• Prior experience building large‑scale enterprise data architectures using commercial and/or open source Data Analytics technologies, with demonstrated knowledge of data architecture patterns.
• Strong cloud architecture expertise (Azure, AWS, GCP) across large projects with a minimum of 2‑3 years experience.
• Strong solution implementation experience (platform engineering, developer experience).
• Data modelling and architecting skills including data warehousing concepts, data normalization, dimensional data modelling, and various data models including Data Vault.
• Demonstrated experience with Databricks (Delta Lake, Unity Catalogue), Snowflake, Cortex AI, Five Tran, dbt, and Data Virtualization tools.
• Experience in Big Data, data warehouse, data analytics projects, and/or Information Management related projects.
• Lead transformation effort for large opportunities: build strategy and multi‑year transformation roadmap for customers.
• Dedicated, resourceful and able to work under pressure.
• As part of presales support, shape large multi‑million value deals by driving TCS positioning with customers and building business for TCS.
• Develop points of view, solution approaches & pitches for new opportunities.
• Define data and technology architecture and patterns on‑prem, hybrid, and cloud using native and partner/tools with recommendations suited to customers’ contexts and objectives.
• 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 current state and critical problems of customers’ data and analytics journey.
• Research and recommend training, equipment, and technology to improve data use.
• Build connections with client senior leadership (CXOs/D&A Heads) and work with them to develop a clear Data and Analytics strategy and architecture that supports their business goals and objectives.

$200,000–$220,000 a year