Solution Architect-Databricks

Job description: Solution Architect - Data Bricks - Data Engineering

Key Responsibilities

• Design & implement a modern Azure data platform leveraging lakehouse principles (Bronze/Silver/Gold), Azure Databricks, Azure Synapse Analytics, and Power BI
  
• Lead lakehouse/medallion architecture end‑to‑end: ingestion, transformation, governance, and consumption with Delta Lake patterns and performance optimization
  
• Own large-scale migrations from SAP ECC to Synapse; define extraction strategies, data modeling, reconciliation, and cutover plans.
  
• Evaluate and pilot Microsoft Fabric capabilities, including Direct Lake for Power BI; document findings and guide adoption.
  
• Architect event-driven integrations for retail/price services using Azure Service Bus, Logic Apps, and Azure Functions. (based on your stated requirements)
  
• Lead legacy-to-D365 application/data migration using ADF, coordinating a team of ~20 engineers; establish delivery standards and review gates.
  
• Automate CI/CD with Azure DevOps across ADF, Databricks, Synapse, and Power BI; enforce branching, code review, and environment promotion
  
• Harden the platform with Azure security controls—RBAC, Azure AD integration, encryption at rest/in transit, and secrets management
  
• Drive SSRS → Power BI modernization (including Power BI Paginated Reports) at enterprise scale; rationalize report estate and optimize cost/performance.
  
• Collaborate with network teams to align data workloads with hub‑and‑spoke topology, VNet design, and ExpressRoute connectivity.
  
• Support pre‑sales and solutioning for multi‑cloud data platforms, Data Mesh strategies, and GenAI use cases; develop POVs and solution material.
  

Required Experience & Skills

• Proven track record building Azure lakehouse platforms with Databricks, Synapse, ADLS Gen2, and Power BI
  
• Hands‑on with ADF, event streaming/integration (Event Hub/Service Bus), and orchestration (Logic Apps, Functions
  
• Demonstrated success in SAP ECC to Azure migration programs (data extraction, modeling, delta handling, reconciliation).
  
• Enterprise CI/CD using Azure DevOps (pipelines, artifacts, automated deployments) and production readiness practices.
  
• Security-by-design mindset: RBAC, Azure AD, encryption standards; familiarity with Azure governance (policies, monitoring
  
• Experience modernizing reporting estates from SSRS to Power BI, including paginated workloads
  
• Understanding of hub‑and‑spoke network architecture, VNets, and ExpressRoute implications for data platform connectivity.
  
• Strong stakeholder engagement; ability to guide pre‑sales, author solution artifacts, and present architectures to business and technical leaders.