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- Tasks: Design and optimise data platforms using cutting-edge technologies.
- Company: Join a leading tech firm in Basildon or Dublin.
- Benefits: Competitive contract pay and opportunities for skill enhancement.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Shape the future of data solutions and make a real impact.
- Qualifications: 10+ years in Data Engineering and expertise in Snowflake and AWS.
The predicted salary is between 70000 - 90000 £ per year.
Location: Basildon, UK or Dublin, Ireland
Job Type: Contract – 5 Days – On-site
Required Skills:
- 10+ years of experience in Data Engineering / Solution Architecture
- Strong expertise in Snowflake Architecture and Optimization
- Hands-on experience with Apache Airflow / AWS MWAA
- Proficiency in dbt (data build tool) for transformation workflows
- Experience with Data Lakehouse architectures (Apache Iceberg preferred)
- Strong knowledge of AWS services (S3, EMR, IAM, Glue, etc.)
- Hands-on experience with PySpark / Spark on EMR
- Expertise in architecture documentation (ADDs, HLD, LLD)
- Solid understanding of cloud-native patterns and distributed systems
- Experience in performance tuning and cost optimization
Data Platform Solution Architect in Essex employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Solution Architect in Essex
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and architecture space. Attend meetups or webinars where you can chat with industry folks and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Apache Airflow, and AWS services. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data platform architecture. We recommend practising your answers with a friend or even in front of the mirror to build confidence.
✨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 Data Platform Solution Architect in Essex
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in Data Engineering and Solution Architecture. We want to see your expertise in Snowflake and any hands-on experience with tools like Apache Airflow and dbt, so don’t hold back!
Showcase Your Projects: Include specific projects where you've worked with Data Lakehouse architectures or AWS services. We love seeing real-world examples of how you've tackled challenges and optimised performance, so let us know what you've achieved!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents, especially when it comes to architecture documentation like ADDs, HLD, and LLD. Make it easy for us to see your skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Natobotics
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Snowflake Architecture and AWS services. Be ready to discuss how you've optimised data solutions in the past, as well as any hands-on experience with tools like Apache Airflow and dbt. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in Data Engineering or Solution Architecture. Think of a couple of scenarios where you had to tune performance or optimise costs. This will demonstrate your ability to think critically and adapt to complex situations.
✨Familiarise Yourself with Data Lakehouse Concepts
Since the role mentions Data Lakehouse architectures, make sure you understand the principles behind them, especially Apache Iceberg. Be ready to explain how you've implemented or worked with these architectures in previous roles, as this could set you apart from other candidates.
✨Prepare Your Documentation Examples
As architecture documentation is key for this role, gather examples of your work on ADDs, HLDs, and LLDs. Being able to discuss your documentation process and how it supports your architectural decisions will show that you have a comprehensive understanding of the field.