Azure Architect - Data Engineering

Tiger Analytics • MLOps • AI Consulting & Integration • 3 days ago
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Salary
≈ $24k – $51k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Aug 12, 2026.

Overview
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Profile match

Tiger Analytics

Tiger Analytics is an advanced analytics and artificial intelligence consultancy founded in 2011 that builds data science and decision systems for consumer goods, retail, insurance, healthcare and technology clients. Its engagements typically run from data platform construction through model development to deployment and monitoring in production, rather than stopping at proof of concept, and it also packages recurring problem shapes into reusable accelerators. Headquartered in Santa Clara with its largest delivery organisation in India, it employs several thousand data scientists and engineers across North America, Europe, India and Australia.
tigeranalytics.com • HQ: Santa Clara, United States • MLOps • Data Engineering & Migration Services • AI Consulting & Integration • Analytics & BI Consulting • 1001-5000 employees • Est. 2011
Tech stack of Tiger Analytics
Azure Databricks Architect

Role Overview:

We are looking for experienced Data Architects / Senior Data Architects to join our teams in Chennai, Bangalore, or Hyderabad. In this role, you will lead the architecture, design, and delivery of modern data platforms?including Data Lakes, Lakehouses, and Data Mesh?using Azure and Databricks. This is a hybrid role involving hands-on development, customer engagement, and technical leadership, where you will collaborate across teams to drive scalable and innovative data solutions end-to-end.

Key Responsibilities:

? Architect and implement data solutions leveraging Azure and the Databricks ecosystem.

? Own the complete lifecycle of data platform implementations?from requirements gathering and platform ? selection to architecture design and deployment.

Work closely with data scientists, application developers, and business stakeholders to deliver enterprise-grade data solutions. ? Continuously explore emerging technologies to solve business problems creatively.

? Mentor and guide a team of data engineers, promoting best practices and innovation. Contribute to broader organizational initiatives including capability building, solution development, talent acquisition and industry events.

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