Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data models for complex environments while collaborating with data professionals.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact globally.
- Benefits: Enjoy competitive salary, health care, training resources, and wellness initiatives.
- Why this job: Be part of innovative projects that challenge you and promote a data-driven culture.
- Qualifications: Experience in AWS, SQL, data modelling, and software development is essential.
- Other info: We embrace diversity and are a Disability Confident Employer, welcoming all applicants.
The predicted salary is between 28800 - 42000 £ per year.
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
We have an exciting role for you – Data Modeler. As a Data Modeler, you will be responsible for designing and implementing data models to support complex data environments.
- Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape.
- Governance and oversight of data models ensuring they conform to agreed principles and standards.
- Nurturing a data culture and promoting data model usage.
- Assisting with implementing data models into the change and governance frameworks.
- Building conceptual and logical data models that accurately represent data relationships.
- Experience with AWS Services.
- Knowledge of SQL and Data Modeling.
- Experience in data vault model.
- Software development experience.
- Experience of conceptual and logical data modelling.
- Experience with data analytics, APIs, databases, and related technologies.
Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events.
Diversity, Inclusion and Wellbeing: Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role.
Data Architect - Hybrid employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling and architecture. Being well-versed in current technologies, especially AWS services, will help you stand out during discussions with our team.
✨Tip Number 2
Network with other data professionals on platforms like LinkedIn. Engaging with industry groups can provide insights into what companies like TCS are looking for in a Data Architect.
✨Tip Number 3
Prepare to discuss your experience with SQL and data vault models in detail. Be ready to share specific examples of how you've implemented these in past projects, as this will demonstrate your practical knowledge.
✨Tip Number 4
Showcase your passion for data culture and governance. Be prepared to discuss how you've promoted data model usage in previous roles, as this aligns with our mission at TCS to make a meaningful impact.
We think you need these skills to ace Data Architect - Hybrid
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Modeler. Familiarise yourself with data modelling concepts, AWS services, SQL, and the specific requirements mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data modelling, software development, and any specific technologies mentioned, such as data vault models and APIs. Use keywords from the job description to ensure your CV stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and how your skills align with TCS's mission. Mention your experience with complex data environments and your commitment to making a meaningful impact through technology.
Follow Application Instructions: When submitting your application, ensure you follow the instructions carefully. Use the correct subject line as specified and double-check that all required documents are included before hitting send.
How to prepare for a job interview at Tata Consultancy Services
✨Understand the Company’s Purpose
Before your interview, take some time to research TCS and their mission as a purpose-led transformation company. Understanding their commitment to making a meaningful difference will help you align your answers with their values.
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling in detail. Highlight specific projects where you designed and implemented data models, and be ready to explain your approach to governance and oversight of these models.
✨Familiarise Yourself with Relevant Technologies
Since the role requires knowledge of AWS services, SQL, and data vault models, ensure you can speak confidently about your experience with these technologies. Consider preparing examples of how you've used them in past roles.
✨Emphasise Collaboration and Communication
TCS values engagement with other data professionals, so be ready to discuss how you’ve collaborated with teams in the past. Share examples of how you’ve nurtured a data culture and promoted data model usage within your previous organisations.
