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.
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.
Qualifications
* 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.
About the Role
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.
Benefits
* 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
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