Data Architect
Job Info
Designs and oversees the implementation of data systems and structures that support the storage, management, and analysis of large volumes of data. This involves creating data models, defining data standards, and ensuring the integrity and security of data.
Responsibilities
Develop and maintain data strategy aligned with organisational goals.
Design and implement data models and database structures.
Establish data governance policies and ensure compliance.
Facilitate data integration between systems.
Implement data security measures.
Document data architecture components.
Collaborate with stakeholders to understand data requirements.
Evaluate and recommend data management technologies.
Monitor and optimise data architecture performance.
Mentor and guide teams of architects, data engineers and analysts.
Skills & Knowledge
Proficiency in designing conceptual, logical, and physical data models.
Expertise in database design, optimisation, and administration.
Understanding of data governance principles and best practices.
Ability to design and implement data integration solutions.
Knowledge of data security measures and best practices.
Familiarity with data management technologies, tools, and platforms.
Strong communication skills to collaborate with stakeholders and articulate technical concepts.
Ability to analyse complex data-related problems and develop effective solutions.
Leadership skills to guide data architecture teams and drive projects forward.
Understanding of business needs and objectives to align data architecture with organisational goals.
Ability to think analytically and strategically about data architecture challenges and opportunities.
Willingness to stay updated on emerging technologies and best practices in data architecture.
Career Progression
Junior Data Architect - Data Architect - Senior Data Architect - Principal Data Architect - Chief Data Officer (CDO) or Chief Information Officer (CIO)
Qualification Pathways
If you are looking to transfer into this role from a related role in the industry, leverage your existing experience and skills in the industry to identify transferable skills that align with a Data Architect Role. Highlight these transferable skills on your CV and in interviews to demonstrate your suitability for positions within the sector.
If you are new to industry, follow these routes:
Step 1: Obtain a bachelor's degree in Computer Science, Information Technology, Mathematics, or a related field OR pursue an apprenticeship in a Data related role.
Step 2: Acquire several years of experience in data management, database administration, or data analysis roles.
Step 3: Consider specialised training programmes or certifications in data architecture, database management, or data modelling.
Step 4: Pursue advanced degrees such as a Master's in Information Systems or a Master's in Data Science to deepen knowledge and expertise.
Step 5: Develop proficiency in data modelling tools, database management systems, and data governance principles.
Step 6: Gain hands-on experience by leading data architecture projects and collaborating with cross-functional teams.
Step 7: Stay updated on emerging technologies, industry trends, and best practices in data architecture through professional development opportunities and self-study.
Step 8: Obtain relevant certifications to validate skills and expertise.
Step 9: Build professional networks within the data architecture community to learn from peers, share knowledge, and explore career opportunities.
Other Info
Relevant Apprenticeships:
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-technician-v1-0
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-analyst-v1-1
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-engineer-v1-0