Company Name: VARITE India Private Limited

About The Client:

An American multinational information technology infrastructure services provider that designs, builds, manages and develops large-scale information systems. It is currently the world's largest IT infrastructure services provider and the fifth-largest consulting provider.

About The Job:
This role is responsible for shaping and owning the enterprise data platform architecture across on-premises, hybrid, and cloud settings.
It focuses on modernizing and consolidating data engineering, analytics, BI, data science, and AI/ML platforms while establishing scalable, secure, governed, and reusable architecture patterns.
The role also enables a future-ready data foundation to support Dataiku-based analytics, AI/ML workflows, Agentic AI use cases, and regulatory reporting.

Essential Job Functions:
Define enterprise data platform strategy, target-state architecture, roadmaps, standards, and reusable reference patterns.
Rationalize and modernize legacy/overlapping tools such as SAP BODS, Oracle Data Integrator,



BusinessObjects, Qlik, Power BI, MicroStrategy, and multiple Dataiku instances.
Architect robust data pipelines for batch, API-based, event-driven, and cloud-native data integration.
Design scalable data engineering patterns using SQL, Python, ETL/ELT, APIs, data warehouse, data lake, and cloud-native services.
Enable data science and AI/ML workflows including Dataiku, model lifecycle, feature engineering, model monitoring, traceability, and explainability.
Define architecture for governed Agentic AI capabilities that consume trusted enterprise data and integrate with business/workflow systems.
Establish data governance standards for data quality, lineage, metadata, access control, privacy, retention, auditability, and compliance.
Drive cloud adoption through Azure landing zone-aligned data architecture, Azure-native monitoring, automation, and security controls.
Embed DevSecOps,

📌 Enterprise Architect – Data Bengaluru
🏢 VARITE
📍 Bengaluru