Data Architect – Government & Healthcare Industry

Role: Data Architect – Government & Healthcare Industry

Client: Global Consulting Firm

Location: London & remote

Salary: 75k to 100k + Performance Bonus + benefits

Requirements

As a data architect, you will design technical data-driven solutions for our clients. You will supervise the implementation of those data-driven solutions, and ensure the enterprise strategic vision is met. You will function as a technical leader, making sure that the data architecture under your watch is secure and sustainable. You will work to develop data integration strategies while showcasing extensive experience in data management.

Essential requirements for this role:

• Experience in scoping, designing and delivering data architecture solutions on cloud platforms (Azure, AWS, Snowflake, GCP or similar) through the entire project lifecycle
• Able to articulate complex data concepts to both technical and non-technical audiences including “storytelling” through data visualisation
• The intellectual curiosity and drive to seek out, learn, and then apply new data techniques in a fast paced environment with scepticism and attention to detail regarding data quality and analytical outputs;
• Show experience in owning client relationships and managing them throughout the engagement lifecycle;
• Show an ability to assess modelling needs based on client’s situation and recommend the best data tools and methods to support them;
• Commercially curious: we want you to be able to understand a business area and its strategic outcomes, the business processes and metrics that drive performance.

Technical skills required:

• Foundational understanding of several of the core data architecture disciplines including data modelling, metadata management, data migration and/or master data management;
• Proven experience of developing Conceptual through to Physical data models: you must be proficient in at least one data modelling tool (e.g. Erwin)
• Have developed documents to support your work such as Mapping Documents, CRUDs, API Specification Documents, HLSAs and/or a Data Migration Strategy
• Practical knowledge of core data ETL and visualisation skills- for example using tools such as SQL and NoSQL databases, ETL tools (e.g. Snaplogic, Alteryx) & PowerBI/Tableau/Qlik
• Advanced technical skills, in one or more of the following areas: Master Data Management tools such as Informatica, writing API specs in JSON and integrating with tools such as MuleSoft

Proven experience in applying data architecture tools and techniques in at least one of the following areas:

• Enterprise wide data architecture and modeling
• Business tooling based architecture and modelling (CRM, ERP) and integration architecture for data across heterogeneous applications
• Reporting on and Data Analytical data architecture and modelling

“Nice to have” skills for this role:

• Experience in Agile delivery and Agile techniques, such as Scrum and Kanban
• Certifications in Data Architecture (e.g. TOGAF / Cloud Certifications)