Head of Data Architecture
Careerwise
- Industry Type
- Architecture, Interior Designing
- Functional Area
- Architecture, Interior Design
- Nationality
- Any
- Keywords
- Data Estate Management
Job Description
Careerwise is looking for a Head of Data Architecture in London. The role involves developing and managing the enterprise data architecture roadmap aligned with business goals. You will design scalable and resilient data architectures to support analytics, AI, reporting, and operations, and establish architecture standards and best practices.
- Position
- Head of Data Architecture
- Company
- Careerwise
- Location
- London, United Kingdom
- Industry
- Architecture, Interior Designing
- Experience
- 1 to 20 years
Responsibilities
- Develop and manage the enterprise data architecture roadmap in accordance with business objectives.
- Design scalable and resilient data architectures that support analytics, artificial intelligence, reporting, and operational workloads.
- Establish architecture standards, patterns, and best practices throughout the data estate.
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About the role: Head of Data Architecture
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
A Head of Data Architecture leads the design and management of an organization's data systems and infrastructure. They work to ensure data is organized, accessible, and secure, often collaborating with IT and business teams. This role is common in industries like architecture and interior design, where managing large amounts of project and client data is important.
What this role usually involves
- Develop and implement data architecture strategies aligned with business goals.
- Design and maintain data models, databases, and data integration processes.
- Lead and manage the data architecture team to ensure efficient data management.
- Collaborate with IT and project teams to support data needs for architecture and design projects.
- Ensure data quality, security, and compliance with organizational standards.
- Evaluate and recommend new data technologies and tools.
Skills employers usually look for
- Strong knowledge of data modeling and database design.
- Leadership and team management abilities.
- Good understanding of data governance and security practices.
- Ability to work with cross-functional teams and communicate technical information clearly.
- Problem-solving and analytical thinking skills.
- Familiarity with data integration and ETL processes.
Usual qualifications
- A degree in computer science, information technology, or a related field is usually expected.
- Professional certifications in data management or architecture can be beneficial.
- Experience with database systems and data modeling tools is often required.
- Knowledge of the architecture or design industry can be an advantage.
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