Job: Data Solutions Architect

Title Data Solutions Architect
Categories Technology Permanent
Salary £90k – £100k
Location London
Job Information

An excellent opportunity has arisen for a market leading organisation in Central London for a Data Solutions Architect.

Responsibilities:

Heavy involvement in early engagement with business stakeholders.
Early-engagement estimation and sizing of project and BAU deliveries.
Contribute to the future technical roadmaps and department strategy.
Partake in roadshows and PR exercises, including creating and presenting content to business stakeholders.
Technical solution design.
Train and guide team members.
Inspire and motivate team members.
Drive innovation throughout the team and the wider department.
Work closely with other team leaders and development teams when necessary to create software that is cohesive.
Show flexibility to respond to the changing needs of the business.
Actively contribute to the process of continual improvement, regarding yourself, team and systems.
Help build and promote a positive working environment for the team within your areas as well as other business areas you will engage with.

Technical Skills:

Deep knowledge and experience of data and analytics solution design.
Deep knowledge and experience of Datamodelling, data management techniques and data storage platforms and related tools including: relational modelling (3NF); dimensional modelling (Kimball); massively parallel processing databases (MPP – eg SQL Data Warehouse/Netezza/Teradata); data lakes (Schema-On-Read); corporate data factory modelling (Inmon); graph databases (GDB); ERwin; ER/Studio Data Architect; IBM InfoSphere.
Deep knowledge and experience of data analysis, data profiling, technical business analysis and ability to investigate/understand/reverse-engineer/document/explain complex third-party data processes.
Deep knowledge and experience of data and analytics toolsets, with a strong focus on Microsoft on-premises and cloud offerings including: SQL Server; SSIS, SSAS) – tabular and multi-dimensional, SSRS, MDS, Power BI
Azure Data Services
Good knowledge of Continuous Integration/Continuous Deployment (CI/CD) concepts and tools including: Azure DevOps; Git; SourceTree.
Good knowledge and experience of a variety of programming, query and Scripting languages including: SQL; T-SQL; C#; VB.NET; PowerShell; Python; Scala; JavaScript.
Good understanding of data governance approaches and principles including: master data; data quality; metadata management.
Good understanding of enterprise architecture and architectural techniques, approaches and patterns of other development disciplines including: test driven development (TDD); automated unit testing; service oriented architecture (SOA); application programming interfaces (APIs); microservices; serverless computing; Software-As-A-Service (SaaS); n-tier application architecture; Model-View-Controller (MVC); dependency injection/Inversion of Control (IoC).
Exposure to non-Microsoft tools including: QlikView; Tableau; Oracle Database; Netezza; MySQL; MongoDB; Neo4j; Cognos; Actuate.

Please get in touch ASAP for more information.

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