Solution Architect - Databricks

We are looking for a Databricks + Solution Architect with broader exposure to infrastructure setup, wider cloud ecosystem integration (beyond storage), and end-to-end solution design. Role: Solution Architect Location : London UK (Remote) Role type : Contractors (Outside IR35) for the UK location Please Note: No VISA Sponsorship Job details: Senior Level Data Architect with data analytics experience, Databricks, Pyspark, Python, ETL tools like Informatica. This is a key role that requires senior/lead with great communication skills who is very proactive with risk & issue management. 15+ years of experience as Data Analyst / Data Engineer with Databricks on AWS expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS Job Profile: • Hands-on data analytics experience with Databricks on AWS, Pyspark and Python • Must have prior experience with migrating a data asset to the cloud using a GenAI automation option • Experience in migrating data from on-premises to AWS • Expertise in developing data models, delivering data-driven insights for business solutions • Experience in pretraining, fine-tuning, augmenting and optimizing large language models (LLMs) • Experience in Designing and implementing database solutions, developing PySpark applications to extract, transform, and aggregate data, generating insights • Data Collection & Integration: Identify, gather, and consolidate data from diverse sources, including internal databases and spreadsheets ensuring data integrity and relevance. • Data Cleaning & Transformation: Apply thorough data quality checks, cleaning processes, and transformations using Python (Pandas) and SQL to prepare datasets. • Automation & Scalability: Develop and maintain scripts that automate repetitive data preparation tasks. • Autonomy & Proactivity: Operate with minimal supervision, demonstrating initiative in problem-solving, prioritizing tasks, and continuously improving the quality and impact of your work Technical Skills: • Strong experience as a Data Analyst, Data Engineer, or related role, • Strong proficiency in Python (Pandas, Scikit-learn, Matplotlib) and SQL, with experience working across various data formats and sources. • Proven ability to automate data workflows, implement code-based best practices, and maintain documentation to ensure reproducibility and scalability. Interested applicants can please share their CV / Queries to anita.gokul@alphayotta.com