At a Glance
- Tasks: Design and maintain complex data models for analytics and real-time streaming.
- Company: Join a global business that empowers local teams to make a difference.
- Benefits: Enjoy flexible work options, continuous learning, and comprehensive well-being support.
- Why this job: Be part of an inclusive culture that values diversity and collaboration.
- Qualifications: 10+ years in data architecture; strong skills in data modelling and cloud technologies required.
- Other info: We guarantee interviews for applicants with disabilities who meet minimum requirements.
The predicted salary is between 43200 - 72000 £ per year.
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 the full data modeling lifecycle, including designing, implementing, and maintaining complex data models that align with organizational goals and industry standards. This role requires a deep understanding of data architecture, data modeling methodologies, and experience with real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures supporting business intelligence, analytics, and operational needs. This role involves creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains.
What you\’ll be doing:
- Develop conceptual, logical, and physical data models to support data analytics, streaming, and data product 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 organizational policies and regulatory requirements.
- Optimize data products and their components for performance, scalability, and reliability.
- Evaluate and recommend data modeling 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 modeling.
- Proven experience in data modeling, data architecture, and data product design.
- Proficiency in data modeling standards and techniques (e.g., dimensional model, 3NF, Vault 2.0).
- Experience with analytical and real-time/streaming data solutions.
- Hands-on experience with data modeling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner).
- Knowledge of Python and SQL (e.g., Snowflake or similar warehousing technology, real-time systems).
- Experience with AWS services such as Lambda, SNS, S3, EKS, API Gateway.
- Knowledge of data warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark).
- Understanding of data governance and compliance frameworks (e.g., GDPR, HIPAA).
- Strong communication and stakeholder management skills.
- Analytical mindset with attention to detail.
- Leadership and mentoring abilities in data modeling best practices.
Preferred Skills and Qualifications
- Certifications in data modeling, cloud platforms, or database technologies.
- Experience developing and implementing enterprise data models.
- Experience with interface/API data modeling.
- Knowledge of CI/CD tools like GitHub Actions or similar.
- AWS certifications such as AWS Certified Data Engineer.
- Knowledge of Snowflake, SQL, Apache Airflow, and DBT.
- Familiarity with Atlan for data cataloging and metadata management.
- Understanding of iceberg tables.
Who we are:
We’re a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications, business process, cloud, and infrastructure services, enabling you to achieve great things with talented colleagues and clients.
Our inclusive environment fosters mutual respect, accountability, continuous learning, collaboration, well-being, growth, and agility. We are proud to have diverse Inclusion Networks such as: Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, and Parent Network.
Learn more about our Diversity, Equity, and Inclusion initiatives here .
What we\’ll offer you:
We provide benefits supporting your physical, emotional, and financial well-being, along with continuous learning and development opportunities. Flexible work options are available.
More about NTT DATA UK & Ireland:
We are an equal opportunity employer and a Disability Confident Committed Employer, dedicated to creating a diverse and inclusive workforce. We guarantee an interview for applicants who declare a disability and meet the role\’s minimum requirements. Please inform us of any reasonable adjustments needed during the recruitment process.
Join us in building a truly diverse and empowered team.
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Data Architect employer: Applicable Limited
Contact Detail:
Applicable Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest data architecture trends and technologies. This will not only help you in interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data architecture space. Attend industry meetups or webinars, and connect with current employees at StudySmarter on platforms like LinkedIn to gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data models or solved complex data challenges. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your leadership and mentoring experience in data modelling best practices. Highlight any instances where you've guided teams or improved processes, as this aligns well with the collaborative nature of the role.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and modeling. Focus on specific projects where you've developed data models or worked with real-time data integrations, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your skills align with the company's goals. Mention any relevant certifications or tools you are proficient in, such as AWS services or data modeling tools.
Showcase Relevant Experience: When detailing your work experience, emphasise your 10+ years in data architecture. Include examples of how you've collaborated with cross-functional teams and provided technical leadership in data-related challenges.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to data architecture or emerging technologies. This shows your commitment to staying updated in the field, which is important for this role.
How to prepare for a job interview at Applicable Limited
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with various data modelling techniques, such as dimensional models and 3NF. Highlight specific projects where you successfully designed and implemented complex data models that met business requirements.
✨Demonstrate Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, like Erwin or Lucidchart. Be ready to explain how you've used these tools in past roles, particularly in relation to real-time data integrations and analytics.
✨Understand the Business Context
Research the company’s industry and its data needs. Be prepared to discuss how your data architecture solutions can support their business intelligence and operational goals, showing that you understand the bigger picture.
✨Prepare for Stakeholder Interaction
Since the role involves collaboration with cross-functional teams, think of examples where you've effectively communicated technical concepts to non-technical stakeholders. This will demonstrate your strong communication skills and ability to manage relationships.