Senior Azure Data Platform Engineer / Architect

Job Summary:

We are seeking a highly skilled Azure Data Platform Engineer / Architect to design, build, and optimize enterprise-scale data platform capabilities. The ideal candidate will have strong expertise in Azure data technologies, platform engineering, observability, CI/CD automation, reliability engineering, and enterprise data ingestion frameworks.

This role requires hands-on experience in building scalable and reusable infrastructure platforms, implementing operational excellence practices, and enabling self-service data platform capabilities for enterprise teams.

Key Responsibilities

Platform Observability & Reliability Engineering

• Design and implement enterprise-grade observability frameworks covering:
  • Metrics
  • Monitoring
  • Logging
  • Alerting
  • Operational dashboards
• Establish reliability engineering standards to improve platform resilience, uptime, and operational stability.
• Define platform SLAs, operational readiness standards, and incident management practices.

Platform Engineering & Infrastructure Automation

• Design and build scalable shared infrastructure platform capabilities to support enterprise data workloads.
• Develop reusable infrastructure patterns, governance guardrails, and deployment standards.
• Support scalable cloud-native platform services using Microsoft Azure technologies.

CI/CD & DevOps Enablement

• Build and maintain CI/CD frameworks for reliable and repeatable deployments.
• Implement DevOps best practices using:
  • Azure DevOps
  • GitHub Actions
  • Infrastructure-as-Code
• Enable self-service deployment and onboarding capabilities for engineering teams.

Enterprise Data Ingestion Framework

• Design and implement enterprise-wide data ingestion frameworks supporting:
  • Batch ingestion
  • Near Real-Time (NRT) ingestion
  • Streaming pipelines
• Ensure ingestion pipelines are:
  • Scalable
  • Observable
  • Reusable
  • Fault tolerant

AI-Driven Automation & Optimization

• Implement intelligent automation frameworks to optimize:
  • Platform operations
  • Monitoring
  • Cost efficiency
  • Performance tuning
• Identify opportunities to reduce manual operational effort using AI-driven automation capabilities.

Marketing Domain Enablement & Adoption

• Develop onboarding programs and enablement frameworks for platform consumers.
• Create documentation, templates, standards, and best practices to accelerate adoption across business domains.
• Collaborate with business and engineering teams to improve platform usability and adoption.

Required Skills & Experience

Mandatory Skills

• Strong experience in:
  • Platform Engineering
  • Data Platform Engineering
  • Infrastructure Engineering
• Hands-on expertise with:
  • Azure Databricks
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Azure Data Factory
• Strong experience with:
  • Azure Monitor
  • Application Insights
  • Log Analytics
• Experience implementing:
  • CI/CD pipelines
  • DevOps frameworks
  • Infrastructure automation
• Expertise in enterprise data ingestion and near-real-time data pipelines.
• Strong knowledge of:
  • Observability
  • Reliability Engineering
  • Platform Monitoring
  • Operational Excellence
• Experience with:
  • Cosmos DB
  • PL/SQL
  • MSBI technologies
  • Data Modeling & Architecture

Preferred Skills

• Experience with AI-driven operational automation
• Knowledge of containerization and Kubernetes
• Experience building enterprise-scale reusable data platforms
• Strong documentation and stakeholder communication skills
• Agile/Scrum experience

Experience Required

• 5+ years of relevant experience in Azure Data Platform Engineering / Platform Engineering.