: AWS Data Platform & Data Warehousing Architect

Location: Hyderabad (as per customer ask)

Experience: 15+ Years

Key Responsibilities

Architecture & Strategy on AWS

Assess current-state data and analytics platforms and define target-state architecture.

Develop the roadmap for Contemporary Data Platform, Data Consumption Layer, and Semantic Layer initiatives.

Drive architecture decisions across Data Lake, Lakehouse, Analytics, Reporting, and AI enablement platforms.

Evaluate and recommend technologies, architecture patterns, and modernization approaches.

Semantic Layer & Data Consumption

Design and implement enterprise Semantic Layer architecture.

Define reusable business metrics, KPIs, dimensions, hierarchies, and business data models.

Enable consistent data consumption across Power BI, Tableau, APIs, Applications, and AI solutions.

Establish a “single version of truth” for enterprise reporting and analytics.

Analytics Modernization





Support modernization of enterprise reporting and self-service analytics platforms.

Define architecture patterns for Power BI, Tableau, and future analytics platforms.

Improve data discoverability, usability, and adoption across business functions.

Governance & Metadata

Define metadata management, business glossary, and governance strategies.

Establish standards for data quality, lineage, stewardship, and semantic consistency.

Drive adoption of data products and reusable analytical assets.

AI-Ready Data Foundation

Establish data architecture patterns that support GenAI, AI agents, semantic search, and RAG-based applications.

Define how business semantics, metadata, and data products can be leveraged for future AI initiatives.

📌 AWS Datawarehouse Architect (Hyderabad) (India)
🏢 VRITI.AI
📍 India