Data Architect (Data Modelling & Databricks)

Job Description

Job Title: Data Architect (Data Modelling & Databricks)Location: All LTM Office Locations Experience: 16-19 YearsJob SummaryWe are seeking a highly experienced Data Architect with deep expertise in Data Modelling and Databricks, along with exposure to advanced AI/GenAI solutions. The ideal candidate will lead the design and implementation of scalable data architectures, modern data pipelines, and AI-driven solutions aligned with enterprise goals.Key ResponsibilitiesData Modelling & Architecture (60%)
• Design and implement logical and physical data models using 3NF, Data Vault 2.0, and Star/Snowflake schemas
• Perform data re-architecture for scalability, performance, and maintainability
• Develop parent-child relationships across complex data structures
• Work on geospatial data modelling (WKT, WKB formats)
• Ensure adherence to data governance and modelling standards
Solution Architecture
• Apply architecture patterns such as Lambda and Kappa architectures
• Design solutions for batch and streaming data processing
• Define and document architecture blueprints, reference models, and integration patterns
• Align solutions with business goals and technology roadmaps
GenAI & Advanced AI Integration
• Lead Generative AI and Agentic AI initiatives
• Design and develop RAG (Retrieval-Augmented Generation) pipelines
• Build and implement AI agents (sequential, parallel, loop-based architectures)
• Develop and deploy AI-powered solutions using Databricks and enterprise platforms
Technical Environment
• Work hands-on with Databricks (certifications preferred)
• Develop data pipelines, reusable components, and orchestration workflows
• Integrate data solutions with APIs, AI agents, and BI tools
Required Skills
• Strong expertise in Data Modelling (3NF, Data Vault, Star/Snowflake Schema)
• Hands-on experience with Databricks and data engineering workflows
• Experience in data architecture design and large-scale data platforms
• Knowledge of streaming and batch processing architectures (Lambda/Kappa)
• Exposure to GenAI, RAG pipelines, and AI agent frameworks
• Strong understanding of data governance and performance optimization
Roles & Expectations
• Provide technical leadership and architectural guidance
• Collaborate with cross-functional stakeholders
• Drive innovation in data and AI architecture

Keyskills :
pipelinesgendatamodelsmodellingdatabricksarchitectlambdagenerativere-architecturerag