Databricks Architect
- london, england, United Kingdom
- Job type not listed
- £112 - £137 Per Hour
Job Description
Data Architect - Databricks - Hybrid - Up to £125,000
A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence.
This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.
About the Role
As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.
Key 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, within scope, and to a high standard.
- Implement governance, security, and compliance controls
- Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
- Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
- Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.
Experience Required
- 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).
- Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
- Hands‑on experience in Databricks engineering: Spark, Delta Lake, PySpark.
- Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
- Proficiency in Python, Scala, or SQL.
- Knowledge of Databricks security best practices.
- Strong communication and stakeholder management skills.
What's on Offer
- Generous annual leave
- Private medical insurance
- Wellbeing support
- Guaranteed investment in career development and training
- A high-performance culture offering progression, challenge, and meaningful impact for clients
- And more