Enterprise Data Architect - FMCG, Azure, Databricks

iO Associates; England; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading data solutions firm is seeking an Enterprise Data Architect to drive global data solutions. This strategic role requires a strong background in data architecture, collaboration with teams, and the ability to design scalable data solutions using platforms like Azure and Databricks. Key responsibilities include modernising legacy data systems and implementing effective data governance practices.

Qualifications

• Strong experience in data architecture and solution design.
• Proficiency in Azure, Databricks, Power BI, SAP BTP, Salesforce.
• Knowledge of data governance, modelling, and metadata management.
• Familiarity with AI, ML, and data mesh concepts.

Responsibilities

• Design scalable, secure data solutions using Azure, Databricks, Power BI.
• Define patterns for data ingestion, transformation, and sharing.
• Collaborate with cross-functional teams to deliver pragmatic solutions.
• Modernise legacy platforms and simplify the data landscape.

Skills

Data architecture and solution design

Azure

Databricks

Power BI

Data governance

AI concepts

Machine Learning concepts

Data mesh concepts

Tools

Azure

Databricks

Power BI

SAP BTP

Salesforce

Job description

Enterprise Data Architect

Join Our Client as an Enterprise Data Architect, driving global data solutions that align with enterprise architecture and deliver trusted, governed, and connected data. This strategic role bridges business needs with technical delivery to build a unified data and analytics capability.

Key Responsibilities

• Design scalable, secure data solutions using Azure, Databricks, Power BI

• Define patterns for data ingestion, transformation, and sharing

• Collaborate with cross-functional teams to deliver pragmatic solutions

• Modernise legacy platforms and simplify the data landscape

Required Skills

• Strong experience in data architecture and solution design

• Proficiency in Azure, Databricks, Power BI, SAP BTP, Salesforce

• Knowledge of data governance, modelling, and metadata management

• Familiarity with AI, ML, and data mesh concepts