Data & Integration Architect

St. Margarets and North Twickenham
8 months ago
Applications closed

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Salary: £65,000 - £70,000 p/a

Location: Twickenham / Hybrid

The role holder will take responsibility for ensuring the Data Platform meets present and future business and technology needs, and to deliver, review and take ownership of associated design blueprints/artefacts which enable that architecture to be built, operated and supported. they are also offering some amazing benefits like: A variety of corporate discounts, 25 days of annual leave and your birthday day off, free access to the gym, Life assurance of 4x your basic salary and many more.

Data & Integration Architect - Main Responsibilities:

Responsibility for all data architecture and data integration and increasing the maturity of how the data is handled.
Being the SME on what data the company collects across its different platforms and defining how this data flows from internal and external systems, into and out of the Data Platform.
Providing technical leadership to all levels within the organisation on data architecture and information management.
Defining and communicating the base line and target Data Platform Architecture with supporting artefacts, models, standards and processes which balance the needs of the business and technology and are in line with the architecture principles and guardrails of the company.
Defining data models to support CRM and Analytics.
Understanding key data and information related issues across both business and technology teams.
Sharing data architecture and information management industry best practise, identifying potential opportunities, giving insights into emerging technologies and how they could impact, augment, or support the strategic vision.
Championing the value of data architecture governance and design deliverables across the business.

Data & Integration Architect - Essential Skills:

Bachelor’s degree in Computer Science, Computer Engineering, or relevant work experience.
Hands on experience with the technologies and methodologies used, such as:

SQL
PostGreSQL
MongoDB
APIs and Microservices
Python, Pandas, PyTest
Kafka Connect / Streaming Technologies
CI/CD
Kubernetes / Docker

Knowledge of one or more of the following Primary Domains:

BI, Analytics & Reporting
Data Lakehouse, Data Marts & Data Virtualisation
Data Mesh & Data Fabric
Data Quality, Reference & Meta Data
Enterprise Data Models & Data Governance
Machine Learning

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. 

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