Senior Solutions Architect
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TechShack is back delivering on a Databricks Enterprise programme with a leading European Databricks consultancy. We’ve already helped scale this project, and as it continues to grow we’re looking for senior, hands-on Solutions Architects who can take GenAI past proof of concept and into reliable production systems.
The role
You’ll be the technical lead for major enterprise clients, designing and building data platforms and GenAI applications on Databricks. You’ll put the operational foundations in place to keep them running well and act as a trusted advisor to client stakeholders. You’ll go through official Databricks RSA vetting and report into Databricks.
What you’ll be doing
Leading end-to-end delivery of data pipelines and GenAI applications on Databricks (retrieval, agents, natural-language-to-data)
Building MLOps and LLMOps foundations: CI/CD, model serving, monitoring and evaluation
Tuning Spark workloads and LLM inference for performance, latency and cost
Partnering long term with enterprise clients to turn business challenges into scalable architecture
Setting engineering standards and best practice across client teams
What you’ll need
Databricks certification (required, Data Engineer Professional preferred)
Senior, hands-on Apache Spark experience in Python or Scala
Strong Databricks Lakehouse architecture and delivery experience
Performance engineering at scale: query tuning and debugging distributed systems
Production delivery of RAG, agentic and tool-calling LLM applications
Modern GenAI frameworks such as LangChain, DSPy or Hugging Face
Hands-on MLflow, model serving and AI monitoring
CI/CD, testing for AI and infrastructure-as-code
Confident working with senior client stakeholders
Nice to have
Vetted by Databricks within the last 12 months (a big bonus)
Previous Databricks RSA, Professional Services or partner delivery experience
Mosaic AI, Vector Search, Unity Catalog and Model Serving
Consultancy background with large enterprise clients
The details
Fully remote
#Databricks #GenAI #SolutionsArchitect #LLMOps #MLOps #Spark #Lakehouse #ContractJobs #RemoteJobs #B2B
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