Data Architect

As a Data Architect, you'll design scalable, future-proof data architectures and provide technical

leadership across transformation programmes:

Architecture & Design:

Design enterprise data architectures for Snowflake and Azure cloud ecosystems

Create dimensional data models (star schema, snowflake schema, Data Vault)

supporting analytics and BI

Define data strategy and governance frameworks – lineage, cataloging, security,

compliance

Lead solution design for data warehouse, data lake, and lakehouse implementations

Architect real-time and batch data integration patterns across hybrid environments

Technical Leadership:

Lead technical workstreams on large transformation and migration programmes

Define DataOps standards – CI/CD pipelines, version control, automated testing,

deployment automation

Provide hands-on guidance to data engineering teams on complex technical challenges

Conduct architecture reviews and design authority for data solutions

Mentor engineers on best practices in data modeling, performance optimization, and

cloud architecture

ESSENTIAL SKILLS:

Data Modeling expertise - Star schema, dimensional modeling, Data Vault,

logical/physical design

Snowflake Cloud Data Platform - Architecture design, performance tuning, cost

optimization, governance

Azure Data Factory - Pipeline architecture, orchestration patterns, best practices

Azure Databricks - Lakehouse architecture, Delta Lake, Unity Catalog, medallion

layers

SQL & Python - Strong technical foundation for hands-on guidance and code reviews

DataOps & CI/CD - GitHub/Azure DevOps, automated deployments, version control,

testing frameworks

Architecture Experience:

Enterprise architecture and solution design (6-12+ years experience)

Data warehouse and data lake architecture patterns

Migration and modernization programmes (on-prem to cloud)

Data governance frameworks (security, lineage, quality, cataloging)

Performance tuning and cost optimization strategies