Senior Data Architect

Senior Data Architect – Data & Analytics

Data Architect, Data Architecture, MS Azure, SQL, Json, YAML, XML, AVRO, BI, Business Intelligence, Data & Analytics, Data Migrations, Master Data Management

12 months initial contract – Extensions likely
London – 2 days per week
£600 - £650 per day

A Data & Analytics Senior Data Architect is required by our client based in London for an initial 12 month programme. The Data & Analytics Senior Data Architect will have expert knowledge of modelling, transforming and mapping data, with the ability to analyse and document existing and proposed data structures and establish how to map them to a new target data model, that they will also design themselves.

They will have experience of various database and business intelligence technologies, with significant knowledge and experience in the design of logical and physical data models, the design of data interface specifications, and the detailed design of ETL (Extract, Transform and Load) data mappings. Experience would also be advantageous in how to plan and execute complex data migrations, master data management, and how to prepare data for consumption by microservices and APIs.

Experience:

• Experience of working across the full data lifecycle for all components of the system is expected.
• Understanding and documenting how data is collected, transformed, distributed, and consumed. The ability to produce interface specifications, data models, dataflow diagrams, data dictionaries and visualisations will be key to gaining stakeholder buy in, supporting development teams in preparing their work and driving data quality.
• Knowledge of emerging data technologies (are including the Microsoft Azure Tech Stack) is required, and strong SQL skills are expected, as is a solid understanding of JSON schemas, and other popular data exchange and storage formats as YAML, XML, Parquet and AVRO.
• Experience in BI system design is expected too, including strategies for managing slowly changing dimensions, late arriving data, potentially conflicting data sources, data quality issues, 3rd party data, and sensitive/personal data.
• Excellent communication skills are needed to allow effective translation of sophisticated concepts into easily understood languages across a wide range of stakeholders, source system teams, suppliers and other internal teams including

In the first instance please submit your CV.