Lead Data Architect (Azure)

Lorien; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading global insurance firm in London is seeking a Lead Data Architect to spearhead the design and development of an expansive data platform utilizing Azure and Databricks. The role involves strategic leadership, driving data governance, and fostering innovation through collaboration with various teams to establish a cutting-edge data environment.

Qualifications

• Experience in data architecture and solution design.
• Proven experience in leading and mentoring teams.
• Extensive experience in data governance and MDM tools.

Responsibilities

• Define the data platform strategy and lead a team.
• Drive best practices in data governance and security.
• Work closely with AI/ML teams to build a modern data ecosystem.

Skills

Data architecture

Solution architecture

Cloud data engineering

Data integration

Data governance

Machine Learning (ML)

Stakeholder engagement

Leadership

Communication

Tools

Azure

Databricks

Apache Spark

Python

SQL

Scala

Job description

My client, a large Global Insurance firm in London, are seeking an exceptional Lead Data Architect to lead the architecture and development of an enterprise-scale data platform on Azure and Databricks.

The Lead Data Architect will define the data platform strategy, lead a team of solution architects, and drive best practices in data governance, security, and advanced analytics.

You will work closely with business leaders, data engineers, and AI/ML teams to build a modern, future-proof data ecosystem that supports data-driven innovation.

The ideal candidate must have:

• Experience in data architecture, solution architecture, or cloud data engineering, with a focus on data platform strategy and leadership.
• Proven experience leading and mentoring teams in data platform architecture and solution design.
• Extensive experience with data integration, MDM, data governance, and data quality tools.
• Experience designing and integrating Machine Learning (ML) architectures on Azure, including: MLOps and model lifecycle management in Azure ML and Databricks.
• Model deployment, serving, and monitoring within a Lakehouse or Data Mesh framework.
• Proficiency in Apache Spark, Python, SQL, and Scala for large-scale data processing.
• Excellent leadership, stakeholder engagement, and communication skills.

**Please apply if you have the above skill-set**

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.