Key Responsibilities
Listed on 2026-09-03
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IT/Tech
SRE/Site Reliability, Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Purple Drive
Senior Azure Data Platform Architect Share Bellevue, WA PDT -
Senior Azure Data Platform Engineer / Architect
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 ResponsibilitiesPlatform 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 & Dev Ops Enablement
- Build and maintain CI/CD frameworks for reliable and repeatable deployments.
- Implement Dev Ops best practices using Azure Dev Ops, Git Hub 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.
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, Dev Ops 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.
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