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For Companies At a Glance
- Tasks: Design and optimise scalable data solutions using Snowflake on AWS.
- Company: Join ITC Infotech, a leading global technology services provider.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact in the hospitality sector with innovative data solutions.
- Qualifications: Experience with Snowflake, DBT, and strong SQL skills required.
- Other info: Dynamic team environment with a focus on creativity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
ITC Infotech is looking for a UX Design Operations Specialist to join our team in Hemel Hempstead, England, United Kingdom.
Your X-Factor
- Work ethic - You are a consummate professional.
- Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
- Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
- Impact - You are a critical thinker with an emphasis on creativity and innovation.
- Passion - You have the drive to succeed paired with a continuous hunger to learn.
- Leadership - You are trusted, empathetic, accountable, and empower others around you.
Role Overview
Job Summary
We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, build, and optimize scalable data pipelines and modern data platforms. The role involves developing robust data transformation frameworks, implementing best practices for data modelling, and supporting analytics and visualization teams. The ideal candidate should also have worked knowledge of AI/ML data pipelines and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics.
Key Responsibilities
- Design and implement scalable data solutions using Snowflake on AWS.
- Build and maintain data transformation pipelines using DBT.
- Develop ELT/ETL pipelines to ingest and transform data from multiple sources.
- Design and implement data models (star schema, dimensional models) for analytics and reporting.
- Optimize Snowflake performance, query efficiency, and cost management.
- Implement data quality checks, automated testing, and documentation using DBT.
- Collaborate with BI and analytics teams to deliver reliable datasets for dashboards and reporting.
- Support AI/ML initiatives by preparing and managing data pipelines for machine learning and predictive analytics use cases.
- Implement data governance, role-based access control, and security best practices in Snowflake.
- Automate workflows and pipelines using orchestration tools such as Apache Airflow.
- Work closely with data analysts, architects, and business stakeholders to understand business requirements.
- Support hospitality analytics use cases, including booking trends, guest behaviour analysis, revenue management, and operational performance.
Required Technical Skills
- Data Platform - Strong hands-on experience with Snowflake.
- Cloud Platform - Experience with Amazon Web Services, including: S3, IAM, AWS Glue, Lambda, CloudWatch.
- Data Transformation - Experience with DBT for data modelling, testing, and transformation frameworks.
- Programming / Query - Strong SQL for data transformation and analysis; Python (preferred) for data processing and automation.
- Data Engineering - ETL / ELT pipeline development; Data warehousing and dimensional modelling; Data modelling techniques (Star schema, Snowflake schema).
- AI / Data Science Exposure - Basic understanding of AI/ML data pipelines and data preparation for machine learning models; Familiarity with predictive analytics, recommendation engines, or customer behavior analysis is an advantage.
Preferred Skills
- Experience with Apache Airflow for orchestration.
- Knowledge of CI/CD pipelines, Git-based workflows, and DevOps practices.
- Experience with data governance, metadata management, and data catalogue tools.
- Experience with BI tools such as Tableau or Microsoft Power BI.
- Domain experience in hospitality, travel, or hotel systems, including exposure to reservation systems, guest analytics, and operational reporting.
Education
Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, Data Science, or a related field.
Our Mission
ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.
ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC Infotech is committed to providing veteran employment opportunities to our service men and women.
Snowflake Data Architect - (M/F/D) in Watford employer: ITC Infotech
Contact Detail:
ITC Infotech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Architect - (M/F/D) in Watford
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their needs, especially around Snowflake and AWS expertise.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. This will help you articulate your experience with data pipelines and analytics confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Snowflake Data Architect - (M/F/D) in Watford
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Snowflake Data Architect role. Highlight your experience with Snowflake, AWS, and DBT, and show us how your skills align with what we're looking for.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in data architecture and pipeline development. We love seeing real-world applications of your skills!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We want to understand your experience without getting lost in technical terms.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at ITC Infotech
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, performance tuning, and security models. Be ready to discuss how you've used Snowflake in past projects, especially in relation to AWS.
✨Showcase Your Data Transformation Skills
Prepare to talk about your experience with DBT and how you've built data transformation pipelines. Have specific examples ready that demonstrate your ability to implement best practices for data modelling and how you've optimised data processes in previous roles.
✨Communicate Clearly and Confidently
Since communication is key, practice articulating your thoughts clearly. Be prepared to explain complex technical concepts in a way that non-technical stakeholders can understand. This will show your ability to collaborate effectively across teams.
✨Demonstrate Your Passion for Learning
Express your enthusiasm for continuous learning, especially in AI/ML and data governance. Share any recent courses or projects you've undertaken to stay updated in the field. This will highlight your drive to succeed and adapt in a fast-paced environment.