Title: Data Solution Architect
Location: South Birmingham – Flexible working offeredSalary £75K + Bonus & BenefitsContact: firstname.lastname@example.org Brief Overview:
Forsyth Barnes are working with an established retail organisation going through an expansion phase and using Data as the driving force for this. They are looking for a Data Solutions Architect to lead the data aspects of the organisations solution architecture activities, covering how we collect, structure and consume data across the organisation.
The Data Solution Architect will conceive and design the data structures and integrations that enable them to rapidly, efficiently and effectively deliver on our key business objectives. You will define and own the relevant architecture that explains in detail the how, what and when for data across the technology estate including the Group Data Platform and operational data systems.
Data Solution Architect – Responsibilities:
Data architecture accountability: How they collect, structure and use our data across the organisation as a whole
Design how the organisation delivers on our needs for data (measured by quality, richness, trust, accessibility) whilst retaining agility/adaptability across the data estate.
Data Engineering: Ensure that architectural and modelling standards and designs are understood by the engineering teams. Equip and support these teams to help ensure that the designs are adopted / complied with. Work across the data team to ensure they build the data assets that deliver on the agreed data models.
Data Modelling: Ensure that data modelling is to a high standard across the organisation. Contribute towards the enterprise-wide data modelling standards and ensure they are effectively implemented.
Business Analysis: Determine structural requirements by analysing the operations and strategic priorities; reviewing objectives with stakeholders; and evaluating current systems.
Data Solution Architect – Required Skills/Experience:
Experience creating data architecture and models in consumer focused organisations
Experience delivering end to end solutions, high level architecture and associated principles to data sourcing and integration
Previously used modern data analytics and BI tools, e.g Azure, GCP, AWS and Snowflake
Understanding of Data environments, BI stacks and ETL tools
Understand and relay data issues, alongside capability to use data lakes
Confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design