Data Architect : B

Tata Consultancy Services; Kolkata District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services is seeking a seasoned Data Architect to design enterprise-scale information architectures across multi-source and multi-domain data environments. You will define silver and gold data models, enforce conformance, and guide teams through hybrid warehousing and lakehouse transitions.

Responsibilities include leading modernization efforts, applying Kimball/Data Vault approaches, and leveraging Azure Synapse, Databricks, Unity Catalog, and Data Factory to deliver scalable

Qualifications

• Proven experience as data architect for enterprise-scale information architectures.
• Domain expertise in commerce, manufacturing, or supply chain data models.
• Experience architecting shared data models in lakehouse patterns with conformance standards.
• Experience with both traditional dimensional modeling and modern data mesh/lakehouse paradigms.
• Knowledge of Azure data platform capabilities to guide daily implementations.
• Experience guiding digital transformations including SAP S/4HANA migrations and o9 implementations.

Responsibilities

• Define and design enterprise-scale information architectures.
• Develop silver- and gold-layer data models and conformance contracts.
• Lead teams through transitional architectures harmonizing data warehousing and lakehouse approaches.
• Advise on Azure Synapse, Databricks, Unity Catalog, and Data Factory usage in projects.
• Guide multi-system modernization efforts and large-scale digital transformations.

Skills

Data architecture

Enterprise-scale information models

Dimensional modeling

Lakehouse patterns

Data mesh

Azure data platform

Tools

Azure Synapse

Databricks

Unity Catalog

Data Factory

SAP S/4HANA

o9

Job description

Roles & Responbilities:

• Experience as practicing data architect with proven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production.


• Domain expertise in commerce, manufacturing, or supply chain data models - understanding product hierarchies, inventory flows, customer journeys, manufacturing, or merchandising analytics.


• Demonstrated experience architecting shared data models in modern lakehouse patterns, including defining silver-layer conformance standards and gold-layer consumption contracts.


• Practical experience with both traditional dimensional modeling (Kimball, Data Vault etc.) and modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms.


• Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations.


• Track record of guiding teams through major digital transformations, particularly SAP S/4HANA migrations, o9 implementations, or multi-system platform modernizations.