Enterprise Data Architect
Enterprise Data Architect
Role Description
This is a full-time hybrid role for an Enterprise Data Architect based in London, with flexibility for some remote work. The Enterprise Data Architect will design and implement effective and scalable data architectures, ensure robust data governance, and develop efficient data models. Collaboration with cross-functional teams to drive data strategy and manage Extract, Transform, Load (ETL) processes will be key. The role also includes managing the organization's data warehousing solutions and driving best practices for data management.
Qualifications
- Proficiency in Data Governance, with a strong understanding of policies, processes, and compliance frameworks.
- Expertise in Data Architecture and Data Modeling, with experience in defining and implementing scalable solutions.
- Hands-on experience with Extract, Transform, Load (ETL) tools and practices for data integration and processing.
- Comprehensive understanding of Data Warehousing concepts and solutions.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to collaborate with technical and non-technical teams and communicate complex ideas effectively.
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced certifications in data architecture are an advantage.
As the enterprise data architect, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct London's target data architecture (inc. shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads.
Responsibilities
o Accountable for the data architecture & design, including implementation of company-wide data models, incorporating relevant governance frameworks, and architectural standards.
o Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power Bi with built-in AI design considerations.
o Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels.
o Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage.
o Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners
o Develop data architecture governance and standards, regarding data models and capabilities, including ability to logically model marketing and financial data.
o Connect disparate sources to provide seamless data access.
o Define KPI and Metrics for data dashboard.
o Map existing data sources and identity data access points.
o Create dedicated stakeholder UAT group for continuous output assessment.
o Build an executive dashboard.
o Configure integration and workflows.
o Create automation and refresh schedules.
o Setup training and confidence workshops.
o Integrating ML and AI into dashboard reporting
Required
o Deep knowledge of modern data architecture.
o Experience within Cloud platforms (Azure, AWS, Databricks).
o Strong understanding of ETL/ELT, API’s and integration patterns.
o Strong communication and stakeholder engagement.
o 5years+ in data architecture or related fields.
o Deep understanding of Information Security, alongside privacy and compliance regulations.
o Proven experience in enterprise-scale data modelling.
o Expertise in metadata management.
o Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills.
o Experience in translating complex technological requirements to an audience with minimal technical insight.
This is a hybrid position based in the City of London.
The position is a 6 month FTC role.
The salary for this role will be circa £40K - £45K.
Do send your CV to us in Word format along with your salary and availability.