We are seeking a highly skilled Manager – AI & Data (Context Layer) to lead the design, implementation, and governance of enterprise data context layers that power AI, analytics, and decision intelligence solutions. The ideal candidate will possess solid expertise in Databricks or Snowflake, data management, data lakes, data warehouses, ETL/ELT pipelines, semantic data modeling, and AI-ready data architectures.

This role will be responsible for creating trusted, business-aligned data foundations that enable advanced analytics, GenAI, agentic AI, and enterprise reporting use cases. The candidate will collaborate closely with business stakeholders, solution architects, data engineers, AI teams, and product owners to establish scalable and reusable data assets.

Key Responsibilities

Data Context Layer Strategy & Architecture

Design and implement enterprise data context layers that provide business-ready, AI-consumable datasets.
Define semantic and logical data models to support analytics, AI, and operational reporting.
Establish data domains, business glossaries, metadata standards,



and knowledge representations.
Enable unified access to data across structured, semi-structured, and unstructured sources.

Data Platform Engineering

Architect and implement solutions using Databricks or Snowflake.
Build and optimize data lake, lakehouse, and data warehouse architectures.
Design scalable ETL/ELT pipelines for ingestion, transformation, enrichment, and consumption.
Drive modernization from legacy data warehouses to cloud-native platforms.

AI & GenAI Enablement

Create AI-ready datasets and knowledge layers supporting GenAI and agentic AI applications.
Collaborate with AI teams to develop retrieval, grounding, and context management strategies.
Implement data preparation frameworks supporting LLM-based use cases.
Support Vector DB, RAG, knowledge graph, and semantic search initiatives where applicable.

Data Governance & Quality

Establish data quality, lineage, catalog

📌 Manager Ai & Data Context Layer Noida
🏢 Axtria - Ingenious Insights
📍 Noida