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Solutions Architect

Solutions Architect

XML International
8-10 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Solution Architect | Data, Azure & Databricks

Bangalore, India

Hybrid

8+ Years Experience

Architect Enterprise Data Solutions at Scale

We are looking for an experienced Solution Architect with strong Data Architecture expertise to design enterprise-scale, cloud-native solutions across modern data, integration and AI ecosystems.

This role combines Solution Architecture, Data Architecture, Microsoft Azure, Databricks and Lakehouse technologies with architecture governance and technical decision-making.

You'll work across business and technology teams to shape scalable solutions covering data products, integration, cloud platforms and emerging AI capabilities.

What You'll Do

  • Design enterprise-scale, cloud-native solution and data architectures.
  • Define architecture patterns using Microsoft Azure, Databricks and Lakehouse technologies.
  • Architect modern data solutions covering Data Products, Data Mesh, ETL/ELT and data pipelines.
  • Design architectures supporting batch and streaming workloads.
  • Incorporate DataOps and data observability principles into enterprise solutions.
  • Define API-led, event-driven and enterprise integration architectures.
  • Support API Management, DevOps and modern data-platform capabilities.
  • Contribute to architecture involving AI, GenAI and agent-based solutions.
  • Support solutions leveraging Microsoft/Azure AI Foundry.
  • Apply Responsible AI principles where relevant.
  • Lead architecture governance, assurance, risk assessment and technical decision-making.
  • Collaborate with business, engineering, data and technology stakeholders.
  • Influence architectural outcomes across teams without direct authority.

What We're Looking For

8+ years of Solution Architecture experience, including strong Data Architecture expertise.

Enterprise-scale cloud-native architecture experience.

Strong hands-on knowledge of Microsoft Azure and Databricks.

Strong understanding of Lakehouse architecture.

Experience with Data Products and Data Mesh.

Strong knowledge of ETL/ELT, data pipelines and batch/streaming architectures.

Experience with DataOps and data observability.

Strong understanding of API-led and event-driven architecture.

Experience with API Management, DevOps and enterprise integration.

Knowledge of AI, GenAI, agent-based solutions and Azure AI Foundry.

Strong architecture governance, assurance and risk-management experience.

Excellent stakeholder management, communication and influencing skills.

Preferred: Experience with PowerDesigner and Enterprise Studio 4.

Mandatory Certifications

Candidates must hold the required certifications/credentials specified for the assignment:

  • TOGAF
  • ArchiMate Practitioner
  • Databricks Certified Professional
  • Microsoft Azure Solutions Architect Expert
  • Microsoft Azure Data Engineer Associate
  • Microsoft AI / Foundry certification

Interested

If you combine deep Solution and Data Architecture expertise with Azure, Databricks and modern enterprise architecture practices, we'd like to hear from you.

Apply with your updated CV.

Key Skills

GenAI

Data observability

Event-driven architecture

Azure AI Foundry

Enterprise Studio 4

DataOps

Agent-based solutions

Data pipelines

Data Mesh

Lakehouse technologies

About Company

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