Enterprise Data Architecture
Target-state blueprints, reference architectures and roadmaps that line up data investments with business strategy.
About
Architecture that turns data into a durable business asset
I'm a Principal Data Architect. I help organisations design and modernise their data ecosystems: unifying fragmented sources, building scalable cloud platforms, and putting in the governance that makes data trustworthy.
My work spans the full lifecycle, from enterprise data strategy and reference architectures to hands-on guidance on pipelines, modelling and platform engineering. I work closely with engineering, analytics and business leaders so the architecture serves real outcomes rather than technology for its own sake.
Lately I've been focused on the intersection of data and AI: building the data foundations, retrieval layers and agentic workflows (LangChain, LangGraph) that let generative AI work reliably in the enterprise.
- RolePrincipal Data Architect
- FocusData platforms & AI
- SpecialtyLakehouse & governance
- ExploringAgentic AI, LangGraph
- Webvijaygoriya.com
Expertise
What I bring to the table
Core capabilities across strategy, architecture and delivery.
Lakehouse & Cloud Platforms
Scalable, cost-efficient platforms on Azure, AWS and GCP using Databricks, Snowflake and open table formats.
Data Governance & Quality
Metadata, lineage, cataloguing, access control and quality frameworks that make data trustworthy and compliant.
Data Modelling & Analytics
Dimensional, Data Vault and domain-driven models that power BI, self-service analytics and data products.
Data Engineering & Streaming
Robust batch and real-time pipelines with Spark, Kafka and modern orchestration, built for reliability and observability.
GenAI & Agentic AI
AI-ready data foundations, RAG architectures, vector stores and multi-agent workflows with LangChain and LangGraph.
Tech stack
Tools and platforms
Cloud & Platforms
Engineering & Processing
Governance & Modelling
AI & ML
Approach
How I design data systems
Business outcomes first
Every architectural decision traces back to a measurable business need, not to a technology trend.
Governance by design
Security, lineage and quality are built into the platform from day one, not bolted on later.
Simple, open and scalable
Open formats and modular components keep the platform flexible and avoid lock-in.
AI-ready foundations
Clean, well-described and accessible data is what makes analytics and AI work in practice.
Let's connect
Open to conversations about data architecture, platform modernisation and enterprise AI. The best way to reach me is LinkedIn.