Data Architect

Data Architect

London Full-Time 42000 - 84000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain complex data models to support analytics and real-time data solutions.
  • Company: NTT DATA is a global leader in consulting and technology services, driving impactful change.
  • Benefits: Enjoy flexible work options, continuous learning opportunities, and a supportive work environment.
  • Why this job: Join a diverse team working on exciting projects that genuinely change the world.
  • Qualifications: Bachelor’s or Master’s degree in IT with 10+ years in data architecture and modelling required.
  • Other info: We promote equity and diversity, ensuring an inclusive workplace for all.

The predicted salary is between 42000 - 84000 ÂŁ per year.

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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.

What you\’ll be doing:

  • 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)
  • Knowledge of Snowflake/ SQL
  • Knowledge of Apache Airflow
  • Knowledge of DBT
  • Familiarity with Atlan for data catalog and metadata management
  • Understanding of iceberg tables

Who we are:

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, wellbeing, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA

What we\’ll offer you:

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:

We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team. The team you\’ll be working with:

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Consulting and Engineering

  • Industries

    Data Infrastructure and Analytics

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Data Architect employer: NTT DATA

At NTT DATA, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity, collaboration, and continuous learning. Our London-based team enjoys tailored benefits that support their wellbeing, alongside ample opportunities for professional growth in a dynamic environment that values innovation and diversity. Join us to work on exciting projects with brilliant colleagues while contributing to meaningful change in the world.
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Contact Detail:

NTT DATA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect

✨Tip Number 1

Familiarise yourself with the specific data modelling methodologies mentioned in the job description, such as dimensional models and 3NF. Being able to discuss these techniques confidently during your interview will demonstrate your expertise and alignment with the role.

✨Tip Number 2

Showcase your experience with real-time data integrations and cloud services like AWS. Prepare examples of past projects where you successfully implemented these technologies, as this will highlight your practical knowledge and problem-solving skills.

✨Tip Number 3

Network with current employees or professionals in similar roles at NTT DATA. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during your application process.

✨Tip Number 4

Stay updated on the latest trends in data architecture and modelling tools. Mentioning recent developments or tools you've explored in your discussions can set you apart as a proactive candidate who is committed to continuous learning.

We think you need these skills to ace Data Architect

Data Modelling
Data Architecture
Real-time Data Integration
Conceptual, Logical, and Physical Data Models
Data Governance
ETL/ELT Processes
Big Data Technologies
SQL
Python
AWS Cloud Services
Data Modelling Tools (e.g., Erwin, Lucidchart)
Stakeholder Management
Analytical Skills
Attention to Detail
Technical Leadership
Data Lineage Documentation
API Data Modelling
CI/CD Practices
Metadata Management
Understanding of GDPR and HIPAA Compliance

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data architecture and modelling. Focus on specific projects where you've designed or implemented data models, and mention any tools or technologies you've used that align with the job description.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with NTT DATA's goals. Mention your experience with real-time data integrations and your ability to collaborate with cross-functional teams.

Showcase Relevant Skills: Clearly list your technical skills, such as proficiency in Python, SQL, and familiarity with AWS services. Highlight any certifications you have in data modelling or cloud platforms, as these are preferred qualifications for the role.

Demonstrate Problem-Solving Abilities: Provide examples in your application of how you've identified and resolved data inconsistencies or performance issues in past roles. This will showcase your analytical mindset and attention to detail, which are crucial for the Data Architect position.

How to prepare for a job interview at NTT DATA

✨Showcase Your Data Modelling Expertise

Be prepared to discuss your experience with various data modelling techniques, such as dimensional modelling and 3NF. Highlight specific projects where you've successfully designed and implemented complex data models that align with business goals.

✨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 cloud services like AWS.

✨Understand the Business Context

Research NTT DATA and understand their business model and industry standards. Be prepared to discuss how your data architecture solutions can support their operational requirements and enhance business intelligence.

✨Prepare for Collaborative Scenarios

Since the role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with stakeholders. Be ready to discuss how you gather requirements and design solutions that meet diverse needs.

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