Data Architect

Job Title: Data Architect
Contract Type: Permanent
Location: Middlesbrough, North Yorkshire
Salary: £55000.00 - £65000.00 per annum
Start Date: ASAP
Reference: BBBH29717_1646396349
Contact Name: Jessica Jolly
Contact Email:
Job Published: March 04, 2022 12:19

Job Description

My successful client are looking for a Data Architect to join them on a permanent basis. They are looking for someone to translate business requirements into technical specifications, including identifying data sources, required integrations and transformations, design of storage (e.g., databases and warehouses), and defining the lifecycle of data. These technical specifications are then picked up by the data engineers and analysts for creation.

You will define their data architecture frameworks and standards, including creation of data models, reference/master data identification and management, data security principles and data quality, retention, and archiving processes.

*This position will require travel to the office 2 days a week*

*If you don't have Azure experience this is a great opportunity to work with Azure*

Key Responsibilities and Accountabilities:

Definition of rules, policies, and models that detail the data that gets ingested, how this is used, transformed, and stored, in line with business processes.

Translation of data specific business requirements into technical specifications for the development, data operations, and insights teams

Owning the development of processes and policies for the data lifecycle

Definition of reference architecture that can be used in the development of new and improvement of existing data systems

Identification of reference/master data and design or processes to manage that data.

Provide support to the organisations data consumers in the application and consumption of data held.

Key Tasks:

Creation of technical specifications / blueprints for data use and storage from business requirements, for enacting by data engineers and analysts.

Creating documentation of the data architecture, including data models, and updating this as that architecture develops

Define processes that support the data lifecycle, specifically around data retention and archiving

Define processes that support the identification and management of reference / master data

Collaborating with business analysts, data, and development teams to ensure smooth functioning of their data systems.

Keeping up to speed with data architecture developments and appropriate new Azure functionality

Support our data analysts, customer reporting analysts, and data scientists, in the application of data held in various stores.

Develop key performance measures for data integration and quality

Provide technical oversight to solutions and applications designs by making sure the solution architecture adheres to the created architecture and data governance standards.

Support the design and implementation of the cloud native platform, assisting the future design of projects e.g the Azure Data Factory, Data Lake and Databricks ingestion, storage and processing of data as well as data security and data archiving processes.

Key Skills, Knowledge & Experience:

Good understanding of dimensional and relational database design and data warehousing, and unstructured data design principles and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores

Knowledge of systems development, including system development/data life cycle, project management approaches and requirements, design and testing techniques

Proficient in data modelling and design

Understanding of data management and governance and experience of implementing processes around the data lifecycle

Ability to develop, set, and maintain data standards, and experience in managing meta data.

Ability to work with business and technology colleagues to translate business problems into data designs

Experience of designing data storage practices in Microsoft Azure, using CosmosDB, Data Lake and Azure Data Factory would be desirable

Experience with creating processes and frameworks for Cloud Data Residency and segregation based on location or customer preferences would be desirable

Knowledge of the different Hot/Cold and archiving strategies in Microsoft Azure for cost optimisation is desirable

Strong attention to detail with an ability to validate the accuracy of data-driven systems

Sets a positive and professional example in approach to work

Able to motivate and engage people inside the business

Effective and adaptable communicator

If this sounds like you then please apply for more information and I will be in touch with suitable candidates.