
Data Architect
- London
- Permanent
- Full-time
- Develop conceptual, logical, and physical data models to support data analytics, streaming and data products implementation.
- Define and maintain data architecture standards, principles, and best practices.
- Ensure data models are aligned with business requirements and scalable for future needs.
- Work closely with business stakeholders, data engineers, data solution architects, and data product teams to gather requirements and design solutions.
- Provide guidance on data integration, transformation, and migration strategies.
- Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation.
- Ensure data models comply with organisational policies and regulatory requirements.
- Optimise data products and their components for performance, scalability, and reliability.
- Evaluate and recommend data modelling tools and technologies.
- Stay updated on industry trends and emerging technologies in data architecture.
- Identify and resolve data inconsistencies, redundancies, and performance issues.
- Provide technical leadership in addressing complex data-related challenges.
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in data architecture and modelling.
- Proven experience in data modelling, data architecture, and data products design.
- Proven experience and expertise in data modelling standards, techniques (e.g. dimensional model, 3NF, Vault 2.0)
- Familiarity with both analytical and real-time/ streaming data solutions.
- Hands-on experience with data modelling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner).
- Knowledge of Python and SQL (e.g., Snowflake or a similar warehousing technology, real-time systems).
- Experience in AWS cloud services, particularly Lambda, SNS, S3, and EKS, API Gateway
- Knowledge of data warehouse design, ETL/ ELT processes, and big data technologies (e.g., Snowflake, Spark).
- Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA).
- Strong communication and stakeholder management skills.
- Analytical mindset with attention to detail.
- Ability to lead and mentor teams on best practices in data modellin
- Certifications in data modelling, cloud platforms, or database technologies.
- Experience in developing and implementing enterprise data models.
- Experience with Interface/ API data modelling.
- Experience with CI/CD GITHUB Actions (or similar)
- AWS fundamentals (e.g., AWS Certified Data Engineer)
- Knowledge of Snowflake/ SQL
- Knowledge of Apache Airflow
- Knowledge of DBT
- Familiarity with Atlan for data catalog and metadata management
- Understanding of iceberg tables