Databricks Software Architect

Lead data driven initiatives across customer projects by providing architecture guidance and technical leadership. Develop a deep understanding of customer environment, develop and implement solutions on Databricks platform to address existing project s needs. Own the end-to-end Databricks solution architecture across integration, ingestion, transformation, governance, serving, reporting and operations. Establish engineering standards: medallion architecture, CI/CD, Infrastructure as Code, Databricks Asset Bundles, testing, data quality and observability. Document architecture through ADRs, design guidelines and run design and code reviews. Partner with Data science/AI team on AI-powered solutions, LLM-based tooling and agentic workflows. Optimize performance and costs, give customer transparent cost guidance. Support pre-sales activities by creating solution concepts, architecture proposals, estimates and technical presentations. Collaborate with stakeholders, product owners and engineering teams to translate business requirements into scalable technical solutions.

Desired Candidate Profile

Must have 7+ years of professional software development experience Deep hands-on knowledge of the Azure Databricks platform: Delta Lake, Unity Catalog, Lakeflow (Connect, Declarative Pipelines, Jobs), Auto Loader, SQL Warehouses and serverless compute. Proven experience designing and implementing Lakehouse / medallion architecture as an enterprise standard. Knowledge of Databricks Apps, AI/BI Dashboards, Genie One, Lakebase and Agents. Proficiency in Databricks SQL, Python. Ability to explain pros and cons of Databricks compared with other solutions. Experience in setting up a Databricks environment in Azure and producing decent documentation. Eager to learn, good communication and collaboration skills Strong focus on business needs and willingness to understand and to solve Customer problems Experience designing and delivering AI/ML or LLM-based solutions on Azure Databricks. Experience with the Model Context Protocol (MCP) and agent-based integrations. Nice to have Experience in Automotive engineering Ability to write clean, maintainable and testable code Databricks certification. Other Languages English: B2 Upper Intermediate