Databricks Data Architect

Nigel Frank; Greater London; Hybrid; GBP 112,500 - 137,500; Full time

Benefits offered by this job

Generous annual leave

Private medical insurance and wellbeing support

Investment in professional development & certifications

High performance rewards

Flexibility and autonomy

Exciting client work with real impact

Job summary

A leading data consultancy is seeking a Data Architect skilled in Databricks to design and implement cutting-edge data platforms. This role involves architecting solutions for enterprise clients and requires deep experience with Lakehouse architecture and analytics solutions. The ideal candidate will work in a hybrid environment and benefit from generous leave, private medical insurance, and ongoing professional development. If you're passionate about transforming data and AI, apply now!

Qualifications

• Passion for Databricks and modern data platforms.
• Confidence to challenge thinking at all levels.
• Bonus: Databricks certifications are advantageous.

Responsibilities

• Architecting and implementing Databricks Lakehouse solutions.
• Designing scalable, modern data platforms.
• Leading architectural engagements and owning delivery.
• Advising clients on best practices, governance models.
• Debugging and tuning Databricks workloads.
• Building CI/CD pipelines using Databricks Repos.

Skills

Deep end-to-end experience delivering enterprise Databricks analytics solutions

Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark

Strong data modelling skills (3NF, Kimball, Data Vault)

Skilled in Python, Scala or SQL for data engineering

Experience building scalable ETL pipelines (Workflows, Delta Live Tables)

Hands-on experience with Azure, AWS or GCP

Excellent analytical skills

Tools

Databricks

Power BI

Tableau

Azure

AWS

GCP

Job description

Data Architect - Databricks - Hybrid (London) - up to £125,000

I am working with a high-growth consultancy at the forefront of modern data engineering and AI. This is a place where architects shape real data strategy, influence enterprise-level decision-making, and build world-class Databricks lakehouse platforms for some of the UK's most progressive organisations.

You'll work in an environment that values expertise, encourages innovation, invests heavily in your professional development, and gives you the autonomy to architect complex, cutting-edge data ecosystems. If you enjoy solving hard problems, designing at scale, and working directly with clients to bring modern data platforms to life, you will thrive here.

You Will Work With

• Architecting and implementing Databricks Lakehouse solutions across ingestion, processing, storage, governance and analytics
• Designing scalable, modern data platforms for structured + unstructured data
• Translating business needs into robust technical architectures
• Leading architectural engagements and owning delivery across scope, budget and timelines
• Advising clients on best practices, governance models, data strategy and optimisation
• Debugging and tuning Databricks workloads for performance and cost efficiency
• Implementing security, RBAC, IAM, encryption, lineage, and cataloguing (Unity Catalog, Purview)
• Building CI/CD pipelines using Databricks Repos, GitHub Actions, Azure DevOps
• Supporting RFI/RFP responses and delivering Proof of Concepts
• Contributing reusable architectural patterns to the wider Architecture Practice

Benefits

• Generous annual leave
• Private medical insurance and wellbeing support
• Guaranteed investment in your professional development & certifications
• A culture that rewards high performance and nurtures talent
• Exciting client work with real impact on data & AI transformation
• Hybrid working with flexibility and autonomy

Key Experience

• Deep end-to-end experience delivering enterprise Databricks analytics solutions
• Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark
• Strong data modelling skills (3NF, Kimball, Data Vault)
• Experience exposing Delta Lakehouse to Power BI or Tableau
• Skilled in Python, Scala or SQL for data engineering
• Experience building scalable ETL pipelines (Workflows, Delta Live Tables)
• Hands-on experience with Azure, AWS or GCP (storage, compute, networking)
• Knowledge of Databricks security: RBAC, IAM, encryption
• Excellent analytical skills and the confidence to challenge thinking at all levels
• Bonus: Databricks certifications (Data Engineer, ML, Lakehouse, GenAI)

Ready to Shape the Future of Data?

If you're passionate about Databricks, modern data platforms, and want to take a lead role architecting solutions that power AI and analytics for enterprise clients, this is the perfect next step.

Apply now or send your CV directly!