Solutions Architect

Description

Due to continued growth within our professional services, we are looking for a Solution Architect to join our data practice - working with some of the best data professionals in the country.

You will play an integral part in taking our data services to market - providing technical and strategic thought across the whole lifecycle of data projects from presales through to sign-off and support.

A day in the life of an Aiimi Solution Architect:

• Taking on technical ownership of data projects and transitioning them from presales to delivery
• Translating customers business goals and data strategies into technical delivery roadmaps - making expert recommendations on data tools and technology stacks
• Architect data and digital solutions that deliver against business strategies and IT roadmaps
• Implementing data and digital platforms using technology from the Microsoft Azure stack
• Effort estimation and planning of data projects including resource planning and sizing
• Providing technical leadership and direction across data architecture, data engineering, data visualisation and data science
• Thought leadership around new technologies and approaches for value delivery from data
• Drive the creation, evolution and socialisation of the service playbooks
• Support the sales team in responding to framework bids, technical presales requests as well as with existing account mining from a data and digital perspective
• Support technical partnership conversations with existing, new and potential partners

Requirements

• Expert knowledge of data platform architecture, concepts and approaches
• Advanced knowledge of data management, data governance and data privacy (GDPR)
• Advanced presentation and communication skills (both tech and non-tech audience)
• Experience in influencing business and technical stakeholders towards desired outcome
• Knowledge of Agile data project management and DevOps/DataOps
• Demonstrable experience in delivering data projects from concept through to completion
• Implementation of data platform using Microsoft Azure stack (AWS and/or GCP would be of added benefit)
• Experience of using technologies such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services, Databricks and Power BI (or equivalent technologies within AWS or GCP stack)
• Experience of implementing centralised data repositories and/or Data warehouses

Benefits

• Competitive starting salary
• Up to 10% of basic salary in flexible benefits (to include death in service and critical illness cover as standard plus private healthcare, dental, pension etc.)
• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years
• Flexible working
• Promote training and personal development
• Bi-annual company retreats