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Senior Data Engineer- Azure

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Onsite

Senior Data Engineer- Azure

Xenonstack

Senior Data Engineer- Azure

Skills

SQL QueriesData EngineeringPythonKafkaDatabricksData AnalysisMachine LearningAIScalaPySparkComplianceTerraformAzure

8 months ago

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Important information


Contract type:

Permanent

Location:

Punjab, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Job Information

  • Date Opened 08/08/2025
  • Job Type Full time
  • Industry Technology
  • Work Experience 7 -9 Years
  • City Mohali
  • State/Province Punjab
  • Country India
  • Zip/Postal Code 160071

Job Description

ABOUT XENONSTACK

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling enterprises to gain real-time and intelligent business insights.

We deliver innovation through:

  • Agentic Systems for AI Agents akira.ai
  • Vision AI Platform xenonstack.ai
  • Inference AI Infrastructure for Agentic Systems nexastack.ai

Our mission is to accelerate the world’s transition to AI + Human Intelligence by building scalable, reliable, and intelligent data platforms.

THE OPPORTUNITY

We are seeking a Senior Data Engineer – Azure to design and scale cloud-native data platforms for enterprise AI adoption. You’ll leverage Microsoft’s data ecosystem to enable RAG pipelines, AI observability, and agent-ready data systems.

KEY RESPONSIBILITIES

  • Architect data pipelines using Azure Data Factory, Synapse Analytics, and Databricks on Azure.
  • Manage data lakes with ADLS Gen2 and optimize data warehouse workloads.
  • Implement streaming solutions using Event Hubs, Kafka, or Azure Stream Analytics.
  • Design governance and lineage frameworks with Purview.
  • Collaborate with product teams to deliver AI-ready datasets for Vision AI and AgentOps workflows.
  • Ensure scalability, reliability, and compliance with Azure Well-Architected practices.

SKILLS & QUALIFICATIONS

  • 5–8 years in data engineering with 3+ years in Azure data services.
  • Strong experience in Azure Data Factory, Synapse Analytics, Databricks.
  • Proficiency in PySpark, SQL, Python/Scala.
  • Knowledge of Azure DevOps, CI/CD, and Infrastructure-as-Code (Bicep, Terraform).
  • Familiarity with ML/AI data workflows and compliance-driven environments.
  • Azure Data Engineer Associate or Architect certification preferred.

WHY SHOULD YOU JOIN US?

  • Agentic AI Product Company

    Architect data systems that power enterprise-grade AI agents.

  • A Fast-Growing Category Leader

    Join one of the fastest-growing AI Foundries, trusted by Fortune 500 enterprises.

  • Career Mobility & Growth

    Progress into roles such as Principal Data Architect, Head of Data Platforms, or AI Systems Architect.

  • Global Exposure

    Work with enterprises worldwide on mission-critical data systems.

  • Create Real Impact

    Your designs will directly influence AI adoption, enterprise intelligence, and business outcomes.

  • Culture of Excellence

    Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.

  • Responsible AI First

    Ensure data platforms are not just powerful, but trustworthy, explainable, and compliant.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.

Our Cultural Values

  • Agency – Be self-directed and proactive.
  • Taste – Sweat the details and build with precision.
  • Ownership – Take responsibility for outcomes.
  • Mastery – Commit to continuous learning and growth.
  • Impatience – Move fast and embrace progress.
  • Customer Obsession – Always put the customer first.

Our Product Philosophy

  • Obsessed with Adoption – Making AI-ready data architectures accessible and enterprise-grade.
  • Obsessed with Simplicity – Turning complex data challenges into seamless, intuitive systems.

Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence — by architecting the trusted data platforms that power enterprise AI adoption.

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