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Principal Solution Architect - (Remote - US)

Posted 9 days agoViewed

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💎 Seniority level: Principal, 8+ years

📍 Location: United States

💸 Salary: 136000.0 - 170000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSCloud ComputingCybersecuritySalesforceSoftware ArchitectureGoogle AnalyticsCross-functional Team LeadershipAPI testingServerlessCI/CDAgile methodologiesRESTful APIsData modelingData management

Requirements:
  • 8+ years of experience in driving architectural decisions for cloud-centric or enterprise integration systems.
  • Expertise in architecting and delivering integration solutions for Cloud SaaS platforms, with AWS experience being a plus.
  • Strong knowledge of serverless-first architecture, event-driven patterns, and RESTful API design for system integrations.
  • Proven experience integrating major enterprise platforms such as Salesforce, Workday, and various CMS platforms.
  • Hands-on experience with MarTech tools like HubSpot, Heap, Google Analytics, and customer data platforms (CDPs).
  • Strong understanding of application and cloud network security, with hands-on experience in secure integration design.
Responsibilities:
  • Lead the design and execution of internal system integrations, ensuring robust and secure solutions across CRMs, ERPs, CMS platforms, and MarTech tools.
  • Collaborate closely with IT leadership, including CIOs, to drive strategic technology decisions for mission-critical systems.
  • Develop and maintain an integration strategy, including a roadmap for middleware, shared services, and integration patterns, ensuring operational efficiency and system reliability.
  • Oversee and manage integration security standards and compliance, particularly around data protection, IAM, and key management best practices.
  • Facilitate architecture reviews and continuously improve integration processes by utilizing performance metrics to optimize system uptime, data accuracy, and latency.
  • Partner with engineering teams and product management to define requirements, ensuring seamless data flows across platforms and improving business decision-making through effective data strategy.
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