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Quantzig - Solution Architect - Azure & Data Platform

Technology
Quantzig
1 month agoUntil 28/10/2026

Job description

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.
Keywords
OCamlScalabilityMetadataRabbitMQDevOpsUnityCI/CD

Interested in this role?