Job Title: Data Architect (Data Modelling Databricks)
Location: All LTM Office Locations
Experience: 16-19 Years
Job Summary
We 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 Responsibilities
Data 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
This job is provided by Shine.com
