Databricks Architect

• 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
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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., * 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

Data & AI | Remote (Occasional travel to Glasgow or Reading) Salary £115,000 (Package) Are you a Senior Data Architect who thrives on designing elegant, scalable cloud data solutions? Do you enjoy helping organisations become truly data-guided through modern Data & AI...

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