Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a cloud assessment to recommend the best platform for Databricks implementation.
- Company: Join a forward-thinking company focused on data and analytics solutions.
- Benefits: Fully remote work, competitive day rate, and a short-term contract opportunity.
- Why this job: Make a significant impact by shaping future-ready data architectures.
- Qualifications: Experience with Databricks in Azure and GCP, plus strong data engineering skills.
- Other info: Diverse and inclusive workplace welcoming candidates of all backgrounds.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a Databricks Implementation Consultant / Architect for an initial 4-6 weeks contract. The primary objective of this role is to assess and recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost models, security, compliance, and integration considerations, culminating in a clear recommendation for senior stakeholders.
Role Overview
You will lead a comprehensive Cloud & Data Platform Assessment focused on defining a future-ready architecture and positioning Databricks as the core analytics layer. This role requires deep expertise in Databricks implementations across Azure and Google Cloud Platform (GCP).
Cloud & Data Platform Assessment:
- Review the existing data landscape, including CRM data in SQL Server, external datasets, geospatial sources, and BI consumption.
- Assess how shortlisted cloud platforms (Azure vs GCP) meet analytical requirements: large-scale data volumes (20M+ rows), mixed data types, NLP/AI workloads, geospatial analytics, and daily refresh needs.
- Compare Azure and GCP for architecture, security, Databricks integration, and compliance with data handling standards.
- Produce workload-based cost models for storage, compute, pipelines, and AI/NLP workloads.
- Define target architectures for each option, including high-level diagrams.
- Evaluate implementation complexity, operational overhead, and scalability.
Required Experience:
- Proven track record of end-to-end Databricks implementations in Azure and GCP.
- Strong expertise in lakehouse architecture, data engineering, and analytics frameworks.
- Hands-on experience as a Data Architect or Implementation Consultant.
- Delivery of AI and NLP workloads using cloud-native services.
- Ability to produce technical diagrams, cost models, and senior-level recommendations.
- Background in security, governance, and compliance design.
- Conducting architecture comparisons between Azure and GCP, including evaluating Databricks compatibility.
- Developing costed platform models aligned to specific workloads and Databricks usage.
- Performing security and compliance assessments for Databricks workloads.
- Identifying integration dependencies and risks across cloud platforms, Databricks, and existing systems.
- Producing clear recommendation papers for senior stakeholders, outlining preferred cloud platform and supporting rationale.
Contract Details:
- Fully Remote Engagement
- Initial 4-6 weeks Contract
- Competitive Day Rate - Outside IR35
Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training.
Databricks Implementation Consultant in City of London employer: Robert Half
Contact Detail:
Robert Half Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Implementation Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who have experience with Databricks or cloud platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past Databricks implementations and any relevant projects. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Azure and GCP. Be ready to discuss your approach to cloud assessments and how you tackle complex data challenges. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Databricks Implementation Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and GCP. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the challenges involved in Databricks implementations.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with lakehouse architecture and AI/NLP workloads. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Robert Half
✨Know Your Platforms Inside Out
Make sure you have a solid understanding of both Azure and Google Cloud Platform. Be ready to discuss their strengths and weaknesses, especially in relation to Databricks. Familiarise yourself with their cost models, security features, and how they handle large-scale data volumes.
✨Showcase Your Implementation Experience
Prepare to share specific examples from your past Databricks implementations. Highlight your role in assessing cloud platforms, producing technical diagrams, and delivering AI/NLP workloads. This will demonstrate your hands-on expertise and make you stand out.
✨Prepare for Technical Questions
Expect in-depth questions about lakehouse architecture, data engineering, and compliance design. Brush up on these topics and be ready to explain complex concepts clearly. This shows you can communicate effectively with both technical and non-technical stakeholders.
✨Craft Clear Recommendations
Think about how you would present your findings to senior stakeholders. Prepare a mock recommendation paper that outlines your preferred cloud platform and the rationale behind it. This will help you articulate your thought process during the interview.
