Highlights
Strong hands-on experience with Microsoft Azure data platforms, including Azure Databricks, Azure Synapse Analytics, and/or Microsoft Fabric. • Create developer productivity tooling, templates, and workflows to reduce onboarding friction and improve integration speed for platform consumers.
Numbers & Facts
| Location | Bellevue, WA (Remote) |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Job Title: Data Platform Architect
Duration- Fulltime Permanent
Location: Bellevue, WA / Remote
Job Description:
Must Have Technical/Functional Skills:
Roles & Responsibilities:
Key Responsibilities
Ø 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.
Ø 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.
Ø 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.
Ø 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.
Ø 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.
Ø 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
Ø 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.
Ø 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.
Ø 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.
Ø 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.
Ø 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.
Ø 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.
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
