Databricks Solution Architect
Experis
London, United Kingdom
1 day ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
Β£182,000
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Data Analysis
Microsoft Azure
Cloud Engineering
Data Architecture
Information Engineering
Data Governance
Data Warehousing
Meta-Data Management
Data Streaming
Google Cloud
+5 more
Data Lakes
Data Management
Machine Learning Operations
Data Pipelines
Databricks
Job description
- 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.
Requirements
-
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
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