Data Platform Architect
Job Title: Data Platform Architect
Duration- Fulltime Permanent
Location: Bellevue, WA / Remote
Job Description:
Must Have Technical/Functional Skills:
Roles & Responsibilities:
Key Responsibilities
Platform Observability & Reliability Engineering
Design and implement platform-level observability covering metrics, logging, monitoring, and alerting.
Establish reliability engineering practices to ensure platform stability, resilience, and operational confidence.
Define standards for platform health, reliability, and operational readiness.
Platform CI/CD & Developer Productivity
Build platform CI/CD frameworks that support standardized, repeatable, and reliable deployments.
Create developer productivity tooling, templates, and workflows to reduce onboarding friction and improve integration speed for platform consumers.
Enable self-service capabilities for teams integrating with the platform.
Infrastructure Platform Engineering
Design and engineer shared infrastructure platform capabilities to support scalable and reliable data workloads.
Establish reusable infrastructure patterns, guardrails, and standards for platform services.
AI-Driven Platform Automation & Optimization
Develop and integrate AI-driven automation to optimize platform operations, performance, and efficiency.
Identify opportunities to reduce manual intervention through intelligent automation and optimization frameworks.
Enterprise Data Ingestion Framework
Design and implement a standardized enterprise data ingestion framework, including support for near-real-time (NRT) ingestion patterns.
Ensure ingestion frameworks are reliable, observable, and reusable across teams and domains.
Marketing Domain Onboarding & Adoption
Create and execute a Marketing Domain Onboarding & Adoption Program to improve platform adoption.
Develop onboarding documentation, enablement assets, and best practices for teams consuming platform capabilities.
Required Skills & Experience
Strong experience in platform engineering, infrastructure engineering, or data platform engineering.
Proven ability to build foundational platform capabilities from scratch.
Hands-on experience with observability, CI/CD, reliability engineering, and automation frameworks.
Experience designing or supporting enterprise-scale data ingestion systems, including near-real-time pipelines.
Ability to work effectively in environments with high ambiguity and evolving requirements.
Strong hands-on experience with Microsoft Azure data platforms, including Azure Databricks, Azure Synapse Analytics, and/or Microsoft Fabric
Experience implementing DevOps and CI/CD for data platforms using Azure DevOps, GitHub Actions
Expertise in platform observability and operational monitoring using Azure Monitor, Application Insights, Log Analytics
5+ year of relevant experience.
Duration- Fulltime Permanent
Location: Bellevue, WA / Remote
Job Description:
Must Have Technical/Functional Skills:
Roles & Responsibilities:
Key Responsibilities
Platform Observability & Reliability Engineering
Design and implement platform-level observability covering metrics, logging, monitoring, and alerting.
Establish reliability engineering practices to ensure platform stability, resilience, and operational confidence.
Define standards for platform health, reliability, and operational readiness.
Platform CI/CD & Developer Productivity
Build platform CI/CD frameworks that support standardized, repeatable, and reliable deployments.
Create developer productivity tooling, templates, and workflows to reduce onboarding friction and improve integration speed for platform consumers.
Enable self-service capabilities for teams integrating with the platform.
Infrastructure Platform Engineering
Design and engineer shared infrastructure platform capabilities to support scalable and reliable data workloads.
Establish reusable infrastructure patterns, guardrails, and standards for platform services.
AI-Driven Platform Automation & Optimization
Develop and integrate AI-driven automation to optimize platform operations, performance, and efficiency.
Identify opportunities to reduce manual intervention through intelligent automation and optimization frameworks.
Enterprise Data Ingestion Framework
Design and implement a standardized enterprise data ingestion framework, including support for near-real-time (NRT) ingestion patterns.
Ensure ingestion frameworks are reliable, observable, and reusable across teams and domains.
Marketing Domain Onboarding & Adoption
Create and execute a Marketing Domain Onboarding & Adoption Program to improve platform adoption.
Develop onboarding documentation, enablement assets, and best practices for teams consuming platform capabilities.
Required Skills & Experience
Strong experience in platform engineering, infrastructure engineering, or data platform engineering.
Proven ability to build foundational platform capabilities from scratch.
Hands-on experience with observability, CI/CD, reliability engineering, and automation frameworks.
Experience designing or supporting enterprise-scale data ingestion systems, including near-real-time pipelines.
Ability to work effectively in environments with high ambiguity and evolving requirements.
Strong hands-on experience with Microsoft Azure data platforms, including Azure Databricks, Azure Synapse Analytics, and/or Microsoft Fabric
Experience implementing DevOps and CI/CD for data platforms using Azure DevOps, GitHub Actions
Expertise in platform observability and operational monitoring using Azure Monitor, Application Insights, Log Analytics
5+ year of relevant experience.
