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For Companies At a Glance
- Tasks: Design and evolve data architecture while collaborating with senior leadership.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact globally.
- Benefits: Enjoy competitive salary, health care, training resources, and discounts within the Tata network.
- Why this job: Be at the forefront of innovative technology and drive impactful projects in data architecture.
- Qualifications: Experience in data engineering, cloud platforms, and strong skills in Snowflake and Azure AI/ML required.
- Other info: TCS promotes diversity and inclusion, offering a welcoming culture and various employee networks.
The predicted salary is between 43200 - 72000 £ per year.
🚀 Contract Opportunity – Data Enterprise ArchitectInside IR35 | £850pd (flexible) | Hybrid – LondonWe are seeking a highly skilled Data Enterprise Architect to join a high-profile technical refresh within the London Market insurance sector.Key Details:Inside IR35£850 per day (flexible)Hybrid working – London6M+Initial focus: Migrating SaaS products into SnowflakeWhat You’ll Bring:Proven London Market insurance experienceStrong understanding of Policy Administration SolutionsExperience leading or running a Data Architecture functionTechnical expertise in Snowflake, Google Cloud or AWSKnowledge of GI applications and associated terminologyAbility to map and integrate source systems effectivelyThis is an opportunity to work on a cutting-edge data programme with a leading organisation.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture, especially around Snowflake, dbt, and Azure AI/ML services. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data architecture space, particularly those who work at TCS or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and the specific skills they value.
✨Tip Number 3
Prepare to discuss real-world examples of how you've implemented scalable data solutions or led cloud initiatives. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Research TCS's recent projects and initiatives related to data transformation and AI. Showing that you understand their mission and how you can contribute will make a strong impression during your discussions.
We think you need these skills to ace Enterprise Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Enterprise Data Architect position. Tailor your application to highlight relevant experience in data architecture, cloud technologies, and AI/ML frameworks.
Craft a Tailored CV: Your CV should reflect your expertise in Snowflake, dbt, and Azure AI/ML services. Emphasise your experience with data modelling, ETL/ELT pipelines, and any leadership roles you've held. Use specific examples to demonstrate your impact in previous positions.
Write a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with TCS's mission. Mention your understanding of modern data architectures and your ability to collaborate with stakeholders to drive data strategy and governance.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your formatting is consistent and professional. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at LinkedIn
✨Understand the Role
Make sure you have a solid grasp of what an Enterprise Data Architect does. Familiarise yourself with key responsibilities like data strategy, governance, and cloud technologies. This will help you articulate how your skills align with the role.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Snowflake, dbt, and Azure AI/ML services. Bring examples of past projects where you've successfully implemented these technologies, as this will demonstrate your expertise.
✨Prepare for Stakeholder Engagement Questions
Since the role involves collaboration with senior leadership and various teams, think of examples where you've influenced stakeholders or led cross-functional initiatives. Highlight your communication and leadership skills.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering, AI/ML, and cloud computing. Being able to discuss emerging technologies and best practices will show that you're proactive and passionate about the field.
