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

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
• Inital 4-6 weeks Contract
• Competitive Day Rate - Outside IR35

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