Data Architect
Databricks
11 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
Amazon Web Services (AWS)
Automation of Tests
Azure
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Vault Modeling
DevOps
Machine Learning
Meta-Data Management
Performance Tuning
Role-Based Access Control
Cloud Services
SQL Databases
Systems Integration
Enterprise Software Applications
Spark
Data Lake
Infrastructure Automation Frameworks
Machine Learning Operations
Data Pipelines
Databricks
Job description
- Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance.
- Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets.
- Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services.
- Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential).
- Translate business requirements into target-state data models, ingestion patterns, and semantic layers.
- Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness.
- Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage).
Requirements
- Significant Databricks experience required, including production-scale deployments and optimisation.
- Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns.
- Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems.
- Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences.
- Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management.
- Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines.
Desirable
- Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect).
- Experience delivering governance frameworks, catalogue implementations, and operating models.
- Exposure to MLOps and analytics enablement.
About the company
We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition.