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- Tasks: Lead the design and implementation of scalable, cloud-native data platforms using AWS and Snowflake.
- Company: Innovative tech firm in Basildon focused on modern data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and best practices.
- Why this job: Shape the future of data architecture and work with cutting-edge technologies.
- Qualifications: Strong experience in data platform architecture and expertise in Snowflake.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Data Platform Solution Architect to lead the design and implementation of scalable, cloud-native data platforms in Basildon. This role will focus on building modern lakehouse architectures leveraging AWS and Snowflake, ensuring high performance, reliability, and governance across enterprise data ecosystems.
Key Responsibilities
- Design and deliver end-to-end data platform architecture using Snowflake, AWS, and modern lakehouse principles
- Produce high-quality Architecture Design Documents (ADDs) and technical blueprints
- Architect and optimise data pipelines using Airflow / MWAA and dbt
- Define and implement data lakehouse solutions using Apache Iceberg and S3
- Lead performance tuning across Snowflake, Airflow, and Iceberg environments
- Ensure platform reliability, observability, and scalability
- Drive adoption of cloud-native design patterns and best practices
- Collaborate with engineering, DevOps, and business stakeholders
Requirements
- Strong experience in Solution Architecture for data platforms
- Deep expertise in Snowflake architecture
- Hands-on experience with Airflow / MWAA and dbt
- Strong knowledge of AWS data services (S3, EMR, PySpark)
- Expertise in performance tuning and optimisation
Data Platform Solution Architect in Colchester employer: MarkJames ?
Contact Detail:
MarkJames ? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Solution Architect in Colchester
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Snowflake, AWS, and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data architecture and cloud-native solutions. Practice explaining your past projects and how they relate to the role you're applying for.
✨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 Colchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and data platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your expertise can help us build scalable solutions. Keep it engaging and personal.
Showcase Your Technical Skills: When detailing your experience, focus on specific technologies like Airflow, dbt, and Apache Iceberg. We love seeing concrete examples of how you've optimised data pipelines or improved performance in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at MarkJames ?
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, AWS, and the modern lakehouse principles. Brush up on your knowledge of data pipelines, Airflow, and dbt. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
✨Prepare Your Architecture Design Documents
Since producing high-quality Architecture Design Documents is key for this role, bring examples of your previous work. Be ready to explain your design choices and how they contributed to performance and reliability. This shows you can not only design but also articulate your vision.
✨Showcase Your Problem-Solving Skills
Expect questions that test your ability to troubleshoot and optimise data platforms. Prepare some scenarios where you successfully tuned performance or resolved issues in Snowflake or Airflow. This will demonstrate your hands-on experience and critical thinking.
✨Collaborate Like a Pro
This role involves working with various teams, so be ready to discuss how you’ve collaborated with engineering, DevOps, and business stakeholders in the past. Highlight any successful projects that required teamwork and how you drove adoption of best practices.