Databricks Solution Architect

Undisclosed Company; Greater London; Hybrid; GBP 112,000 - 147,000; Full time

Job summary

Experis is seeking a Databricks Solution Architect for a 3-month hybrid- London-based role. You will architect and optimise solutions on the Databricks Lakehouse Platform, designing scalable data pipelines to support batch, streaming, analytics and AI workloads.

You will collaborate with senior stakeholders, ensure security and governance, and produce architecture artefacts. The role demands strong leadership of multi-disciplinary teams and deep cloud experience across Azure/AWS/GCP.

Qualifications

• Proven expertise with Databricks including Lakehouse, Delta Lake, Unity Catalog, Workflows, SQL, and MLflow.
• Strong cloud architecture experience in Azure (preferred), AWS or GCP.
• Deep understanding of data warehousing, data lake architectures, MDM, data modelling and metadata management.
• Experience designing enterprise-scale analytics and BI platforms.
• Strong stakeholder management and multi-disciplinary team leadership.

Responsibilities

• Architect and optimise solutions leveraging Databricks Lakehouse Platform.
• Design scalable data pipelines supporting batch, streaming, analytics, and AI workloads.
• Provide architectural governance, standards, and best practices.
• Collaborate with senior stakeholders, programme teams, data engineers, analysts, and business leaders.
• Ensure solutions meet security, compliance, data governance, and regulatory requirements.
• Support migration of legacy data platforms to modern cloud-based environments.
• Drive adoption of modern data engineering and analytics patterns.
• Produce architecture artefacts including HLDs, LLDs, reference architectures, and technical governance documentation.

Skills

Databricks

Azure cloud architecture

Data warehousing

Data lake architectures

Master Data Mgmt

Data modelling

Metadata management

Data integration patterns

Stakeholder management

Team leadership

Communication skills

Tools

Databricks Lakehouse Platform

Delta Lake

Unity Catalog

Databricks Workflows

Databricks SQL

MLflow

Job description

Role: Databricks Solution Architect

Location: London (Hybrid)

Duration: 3 Months

Day Rate: £700 Inside IR35

Key Responsibilities

• Architect and optimise solutions leveraging Databricks Lakehouse Platform.
• Design scalable data pipelines supporting batch, streaming, analytics, and AI workloads.
• Provide architectural governance, standards, and best practices.
• Collaborate with senior stakeholders, programme teams, data engineers, analysts, and business leaders.
• Ensure solutions meet security, compliance, data governance, and regulatory requirements.
• Support migration of legacy data platforms to modern cloud-based environments.
• Drive adoption of modern data engineering and analytics patterns.
• Produce architecture artefacts including HLDs, LLDs, reference architectures, and technical governance documentation.

Essential Skills & Experience

• Proven expertise with Databricks including:
• Databricks Lakehouse Architecture
• Delta Lake
• Unity Catalog
• Databricks Workflows
• Databricks SQL
• MLflow
• Data Governance and Security
• Strong cloud architecture experience within:
• Microsoft Azure (preferred)
• AWS or Google Cloud Platform
• Deep understanding of:
• Data warehousing
• Data lake architectures
• Master Data Management (MDM)
• Data modelling and metadata management
• Data integration patterns
• Experience designing enterprise-scale analytics and business intelligence platforms.
• Strong stakeholder management and communication skills.
• Experience leading multi-disciplinary technical teams