Solutions Architect (Databricks)

TieTalent; United Kingdom; Remote; GBP 110,700 - 129,150; Part time

Job summary

A leading technology firm is seeking an experienced Solutions Architect specializing in Databricks to work on fully remote contracts. Candidates should have extensive experience in data engineering and a solid track record with Databricks projects. This role requires strong consulting skills and the ability to design end-to-end data architectures, focusing on performance tuning and customer engagement. Competitive daily rates of £600–£700 are offered.

Qualifications

• 7–10+ years’ experience in Data Engineering, Data Platforms, and Analytics Consulting.
• Proven track record delivering multiple Databricks projects in client-facing environments.
• Deep expertise in performance tuning and optimisation for scalability.

Responsibilities

• Deliver impactful customer technical projects including reference architectures.
• Lead end-to-end design, implementation, and optimisation of Databricks-based platforms.
• Collaborate closely with teams to meet delivery objectives.

Skills

Databricks Certified at Professional or Champion level

Expertise in Apache Spark and PySpark

Proficiency in Python or Scala

CI/CD for production deployments

Strong consulting skills

Tools

Apache Spark

Databricks

AWS

Azure

GCP

Job description

Join to apply for the Solutions Architect (Databricks) role at TieTalent

Contract | Outside IR35

Fully Remote | £600–£700 per day

A leading Databricks Partner is seeking multiple Resident Solutions Architects (and Senior Data Engineers) for immediate outside IR35, fully remote contracts. You will work on cutting edge customer engagements, solving big data challenges using the Databricks platform. As a trusted consultant, you’ll lead the design, build, and deployment of scalable data and AI solutions, ensuring clients unlock maximum value from their data.

Responsibilities

• Deliver impactful customer technical projects including reference architectures, solution accelerators, and production-ready deployments.
• Lead end-to-end design, implementation, and optimisation of Databricks-based data and AI platforms.
• Scope professional services engagements in collaboration with engagement managers and client stakeholders.
• Provide technical leadership in Databricks implementations, migrations, and integrations with client systems.
• Offer escalated technical support for operational issues, ensuring rapid resolution.
• Collaborate closely with Databricks engineering, project managers, and client teams to meet delivery objectives.
• Produce high-quality documentation, run workshops, and deliver technical training.

Required Skills & Experience

• Databricks Certified at Professional or Champion level.
• Proven track record delivering multiple Databricks projects in client-facing environments.
• 7–10+ years’ experience in Data Engineering, Data Platforms, and Analytics Consulting.
• Deep expertise in Apache Spark and PySpark (knowledge of Spark runtime internals desirable).
• Strong background in performance tuning and optimisation for scalability.
• CI/CD for production deployments; working knowledge of MLOps.
• Proficiency in Python or Scala.
• Experience across at least one major cloud ecosystem (AWS, Azure, GCP), with working knowledge of two or more.
• Ability to design and deploy performant end-to-end data architectures.
• Strong consulting skills – confident working with clients, managing scope, and handling conflicts.
• Excellent documentation and whiteboarding skills

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet