Data Architect - Databricks

Accelero; Manchester; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Data Architect to lead the design and implementation of modern data solutions. This exciting role involves collaborating with clients to create scalable architectures and guiding teams through complex projects. The ideal candidate will have extensive experience with Databricks and a strong background in data pipelines and governance. Join a dynamic team that champions cloud-native principles and contributes to innovative data strategies across various sectors. If you're passionate about data architecture and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Proven experience in data architecture with a focus on Databricks.
• Strong background in designing and building end-to-end data pipelines.

Responsibilities

• Design and lead modern data solutions using Databricks.
• Collaborate with clients to translate business goals into technical architectures.

Skills

Databricks

Python

Scala

SQL

Data Governance

Cloud-native Principles

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Data Services

Delta Lake

Job description

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

Base pay range

Direct message the job poster from Accelero

Co-Founder & Director at Accelero - Data | Product

Data Architect – Databricks

Hybrid (Manchester or London)

Up to £100,000

Full-time, Permanent

About the Role

Our client, a dynamic Microsoft Partner, is seeking a highly skilled Data Architect with deep expertise in Databricks. This is a strategic role focused on designing, leading, and delivering modern data solutions for enterprise clients across various sectors. You will work closely with stakeholders to define architecture, modernise data platforms, and guide delivery teams through complex implementations.

Key Responsibilities

• Design and lead the architecture of modern data solutions using Databricks.
• Collaborate with clients to understand business goals and translate them into scalable technical architectures.
• Provide hands-on guidance and technical leadership throughout project lifecycles.
• Collaborate with the pre-sales team to shape client solutions, contribute to technical discovery sessions, and articulate architectural approaches.
• Support proposal development by providing technical input, solution design narratives, and estimations for data platform engagements.
• Define best practices around data modelling, ETL/ELT pipelines, and data platform scalability.
• Champion cloud-native principles and modern data stack adoption.
• Contribute to internal capability building and thought leadership within the consultancy.
• Proven experience in a data architecture role.
• Extensive hands-on experience with Databricks (both engineering and SQL-focused workloads).
• Strong background in designing and building end-to-end data pipelines.
• Proficient in Python and/or Scala; solid understanding of SQL and distributed computing principles.
• Experience with Delta Lake, Lakehouse architecture, and data governance frameworks.
• Excellent client-facing and communication skills.
• Experience in Azure Data Services is desirable (e.g. Azure Data Lake, Synapse, Data Factory, Fabric).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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