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- Tasks: Design and implement scalable data solutions using Databricks on AWS.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive contract rates, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Lead exciting cloud migration projects and drive GenAI automation in data management.
- Qualifications: 15+ years in data roles with strong Databricks and Python expertise.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a Senior Databricks Architect with 15+ years of experience in Data Engineering/Analytics to design and deliver scalable, secure, and cost-efficient data solutions on AWS. This is a leadership role requiring strong hands-on expertise, proactive risk management, and excellent stakeholder communication skills.
Key Responsibilities
- Architect and implement data solutions using Databricks on AWS, PySpark, and Python
- Lead cloud migration initiatives, including on-prem to AWS migrations
- Drive GenAI-enabled automation for data asset migration
- Develop scalable data models and deliver actionable business insights
- Design and optimize ETL pipelines (Informatica or similar tools)
- Build and deploy PySpark applications for large-scale data processing
- Work on LLM pretraining, fine-tuning, augmentation, and optimization
- Ensure high data quality through cleaning, transformation, and validation (Python/SQL)
- Automate data workflows to enhance scalability and efficiency
- Maintain clear technical documentation and best practices
Required Experience
- 15+ years in Data Analyst/Data Engineer/Data Architect roles
- Strong expertise in Databricks on AWS
- Advanced Python (Pandas, Scikit-learn) and SQL skills
- Proven experience in large-scale cloud data migrations
- Hands-on experience with LLMs and GenAI-based automation
- Strong experience designing secure, high-performance data architectures
Key Competencies
- Proactive risk & issue management
- Strong requirement clarification and stakeholder engagement skills
- Excellent communication – able to translate technical insights into business value
- Critical thinker with strong problem-solving capabilities
- Self-driven, autonomous, and collaborative approach
Databricks Architect in Reading employer: SmartChoice International Limited
Contact Detail:
SmartChoice International Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Architect in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and analytics space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have a lead on that perfect Databricks Architect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Databricks, AWS, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. We recommend doing mock interviews with friends or using online platforms to get feedback.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Databricks Architect in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, AWS, and any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Databricks Architect role. Share specific examples of your past work that demonstrate your leadership and technical skills.
Showcase Your Communication Skills: Since this role requires excellent stakeholder communication, make sure your application reflects your ability to convey complex ideas clearly. We love candidates who can bridge the gap between technical jargon and business value!
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 shows you’re keen on joining our team!
How to prepare for a job interview at SmartChoice International Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, AWS, and the tools mentioned in the job description. Brush up on your PySpark and Python skills, especially with libraries like Pandas and Scikit-learn. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to talk about your experience leading cloud migration initiatives and managing teams. Share examples of how you've driven projects from start to finish, highlighting your proactive risk management and stakeholder engagement skills. This will demonstrate that you can take charge and deliver results.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or scenarios related to data architecture and ETL processes. Practice articulating your thought process clearly and logically. This will show your critical thinking and problem-solving capabilities, which are key competencies for this role.
✨Communicate Technical Insights Effectively
You’ll need to translate complex technical concepts into business value. Prepare to explain how your past work has led to actionable insights and improved data quality. Practising this skill will help you connect with the interviewers and demonstrate your excellent communication abilities.