Databricks Data Architectx2 UK Wide Hybrid Working

Adecco; England; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A recruitment agency is seeking a Data Architect to design high-performance data platforms using Databricks and Azure. The ideal candidate will have solid experience in Databricks and Apache Spark, a strong understanding of data warehousing, and relevant certifications. This full-time role demands excellent problem-solving and teamwork skills. Join us to advance your career in a dynamic environment.

Qualifications

• Solid experience as a Data Architect with experience in designing, developing and implementing Databricks solutions.
• Proven expertise in Databricks, Apache Spark, and data platforms.
• Experience with Microsoft Azure cloud platform.

Responsibilities

• Design and build high-performance data platforms using Databricks and Apache Spark.
• Implement data models, quality checks, and governance practices for data warehouses.
• Integrate Machine Learning into data pipelines.

Skills

Experience with Databricks

Knowledge of Apache Spark

Data warehousing concepts

Analytical skills

Teamwork skills

Passion for data

Education

Relevant Architecture certifications from Microsoft and Databricks

Tools

Microsoft Azure

Azure Data Lake Storage

Azure Data Factory

Job description

Databricks Data Architectx2 UK Wide Hybrid Working

Join to apply for the Databricks Data Architectx2 UK Wide Hybrid Working role at Adecco.

This range is provided by Adecco. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

As a Solution Architect with an Azure and Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

Responsibilities

• Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
• Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
• Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.

Qualifications

• Solid experience as a Data Architect with experience in designing, developing and implementing Databricks solutions.
• Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
• Excellent problem‑solving and analytical skills and strong communication and teamwork skills.
• Passion for data and a thirst for learning and is either already a Databricks champion or working towards it.
• Relevant Architecture certifications from Microsoft and Databricks.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries: Technology, Information and Internet

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