> Markdown version of [/jobs/ext/2175905-senior-data-architect](https://www.wearedevelopers.com/jobs/ext/2175905-senior-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Architect

- **Company:** Databricks, Inc.
- **Location:** Epsom, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Vault Modeling, DevOps, Machine Learning, Metadata, Performance Tuning, Role-Based Access Control, Cloud Services, SQL Databases, Systems Integration, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-architect/44802234

## About the Role

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). Essential RequirementsSignificant Databricks experience required, including production-scale deployments and optimisation.Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns.Prior experience within a consulting practice with exposure to both pre-sales and delivery leading on RFI and RPF responses, discovery, risk and high-level estimates.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. DesirableDatabricks Certifications highly desired (e.g., Data Engineer, Data Analyst, Machine Learning, or Architect).Experience delivering governance frameworks, catalogue implementations, and operating models.Exposure to MLOps and analytics enablement.

## Description

Overview Gravitas is seeking a Senior Data Architect to 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. Key ResponsibilitiesOwn 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


## Related Videos

- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)