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.
What experience you'll bring:
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 modelling.
Preferred Skills and Qualifications
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 catalogue and metadata management
Understanding of iceberg tables
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversi
Benefits
Flexible scheduleEquity / stock options
Additional Information
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
The team you'll be working with:
We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in full data modelling life cycle, e.g. design, implement, and maintain complex data models that align with organisational goals and industry standards . This role requires a deep understanding of data architecture, data modelling methodologies, and ideally in real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures that support business intelligence, analytics, and operational requirements. This role is creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains.
Nttlimited · Glasgow, UK