Solution Architect - Databricks at Alphayotta, United Kingdom, £Contract Rate

Contract Description

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