Databricks Data Architect

RED Global; Remote; GBP 125,000 - 150,000; Full time

Job summary

An international IT consulting firm is seeking a Databricks Data Architect for a full-time position with a flexible contract duration of 12 months plus extension or permanent options in the United Kingdom. The role requires extensive experience in Databricks, ETL/ELT pipelines, and enterprise data modeling with relevant tools. Candidates should possess strong skills in Python, SQL, and modern data architectures. Immediate interviews and competitive rates available.

Qualifications

• 10 years in BI / Data Warehousing, at least 4 years in technical or solution architecture roles.
• 3–5 years of hands-on experience in enterprise data modelling.
• Strong hands-on background in building and optimizing ETL / ELT pipelines using modern tooling.

Skills

Databricks

PySpark

Python

SQL

Enterprise data modelling

Power BI

Tableau

QlikView

CI/CD tools (Azure DevOps, Terraform)

ETL/ELT pipelines

Education

Bachelor’s or Master’s degree in Business / IT / related field

Tools

ERwin

ER / Studio

Power Designer

SQL Server

PostgreSQL

Oracle

Redshift

Synapse

Job description

Urgent Opportunity- Databricks Data Architect - Contract / Permanent Opportunity- Remote - 12 months + extension- Full-time- United Kingdom

Our international IT Consulting client is looking for Databricks Data Architect as below.

Urgent opportunity with Competitive Rates & Immediate Interviews!

• Job Title : Databricks Data Architect
• Engagement : Full time
• Location : United Kingdom
• Languages : Fluent in English
• Start date : ASAP
• Contract : 12 months + extension / Permanent Option also Considered

Skills required :

• Bachelor’s or Master’s degree in Business / IT / related field
• 10 years in BI / Data Warehousing (at least 4 years in technical or solution architecture roles)
• 3–5 years of hands‑on experience in enterprise data modelling using tools such as ERwin, ER / Studio, or Power Designer
• Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses
• Knowledge of batch and streaming ingestion, CI / CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse
• Strong hands‑on background in building and optimising ETL / ELT pipelines using modern tooling and best practices
• Proficiency in reporting tools such as Power BI, Tableau, and QlikView

Let's connect for more details, please apply on the job post or send me your most updated CV on [e-mail]