Solution Architect Azure Databricks Data & ML Platform
Experience : 10+ Years
Location : Bangalore
Mode : Hybrid / Client-facing
Role Overview : We are seeking an experienced Solution Architect with strong expertise in Azure Databricks, enterprise data platforms, Edge-to-Cloud integration, and MLOps to design scalable, secure, and governed solutions across industrial and analytics ecosystems.
Key Responsibilities :- Architect integrated Edge, Cloud, Data & ML solutions.
- Design Azure Databricks Lakehouse and Medallion architectures.
- Implement Unity Catalog governance, access control, metadata and lineage.
- Architect end-to-end ML/MLOps platforms including Feature Store, Model Store, training, deployment and monitoring.
- Design secure OTIT / Edge-to-Cloud integration using Docker, RabbitMQ and OPC UA.
- Architect near real-time telemetry and ML monitoring solutions.
- Lead CI/CD architecture using Azure DevOps and GitHub Actions.
- Optimize platform performance, scalability, reliability and cost.
Technical Expertise :1. Azure & Data Platform :- Azure Databricks, ADLS, ADF
- Unity Catalog
- Azure Event Hub, Stream Analytics
- Azure IoT Hub, Key Vault, ACR, App Service
2. Edge & Industrial :- OTIT integration
- Docker, Portainer, RabbitMQ
- OPC UA / PLC
- IDMZ deployment patterns
3. ML & MLOps :- Feature engineering, training, validation and deployment
- Feature Store / Model Store
- Model versioning and monitoring
- Cloud & Edge inference
- Azure Databricks ML
4. Data Architecture : - Medallion Architecture : Raw Bronze Silver Gold
- CDC / SAP ingestion
- API-based and streaming ingestion
- Enterprise data modeling
5. DevOps :- Azure DevOps
- GitHub Actions
- GitHub Self-hosted Runners
- CI/CD automation
Required Qualifications :- 10+ years in Data Platform / Solution Architecture.
- 5+ years on Azure data platforms.
- Strong Azure Databricks Lakehouse architecture experience.
- Experience designing ML/MLOps platforms.
- Experience with Unity Catalog governance.
- Proven industrial / Edge-to-Cloud integration experience.
- Strong enterprise stakeholder and client-facing experience.
Preferred Qualifications :- Industrial / Manufacturing analytics experience.
- IoT telemetry and streaming architecture.
- SAP CDC ingestion experience.
- OPC UA / PLC integration.
- Consulting / enterprise program experience.
Soft Skills :- Strong architectural leadership.
- Excellent client communication.
- Ability to translate business requirements into technical architecture.
- Cross-team collaboration across Data, ML, DevOps and OT.
- Multi-vendor enterprise delivery experience.