Databricks Lakehouse Architect - Hybrid, Impact-Driven

Nigel Frank; Greater London; Hybrid; GBP 112,500 - 137,500; Full time

Benefits offered by this job

Generous annual leave

Private medical insurance

Wellbeing support

Investment in career development

Job summary

A leading Microsoft partnered consultancy is looking for an experienced Data Architect to design modern data solutions on Databricks. This role is hybrid, requiring one day a week in the office. You will lead the architectural design and delivery of data strategies for enterprise clients, ensuring compliance and data quality. Ideal candidates will have deep Databricks experience and strong stakeholder management skills. The role offers competitive compensation and significant career development opportunities.

Qualifications

• Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
• Strong background in designing Lakehouse Architectures for structured and unstructured data.
• Solid understanding of data modelling (3NF, Kimball, Data Vault).
• Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.

Responsibilities

• Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
• Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
• Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
• Lead architectural engagements and ensure successful delivery of solutions on time.

Skills

Databricks

Data modelling

Python

Scala

SQL

Stakeholder management

Tools

Power BI

Tableau

Azure DevOps

GitHub Actions

Job description

A leading Microsoft partnered consultancy is looking for an experienced Data Architect to design modern data solutions on Databricks. This role is hybrid, requiring one day a week in the office. You will lead the architectural design and delivery of data strategies for enterprise clients, ensuring compliance and data quality. Ideal candidates will have deep Databricks experience and strong stakeholder management skills. The role offers competitive compensation and significant career development opportunities.